awesome-mcp

# Awesome MCP > **Note:** This repository contains an automatically compiled list of frameworks, tools, and resources related to Model Context Protocol (MCP). A curated list of awesome Model Context Protocol (MCP) and Model Context Protocol-related software. Table of Contents: - [MCP Servers](#mcp-servers) - [Databases](#databases) (34) - [Cloud & DevOps](#cloud-&-devops) (28) - [Browser Automation](#browser-automation) (20) - [Software Development](#software-development) (33) - [Desktop Automation](#desktop-automation) (14) - [Social & Messaging](#social-&-messaging) (11) - [Security & Reverse Engineering](#security-&-reverse-engineering) (20) - [Design & Visualization](#design-&-visualization) (11) - [Knowledge & Memory](#knowledge-&-memory) (33) - [Agent Platforms](#agent-platforms) (32) - [Media & Creativity](#media-&-creativity) (12) - [Finance & Trading](#finance-&-trading) (8) - [Other MCP Servers](#other-mcp-servers) (30) - [MCP Clients](#mcp-clients) - [CLI Tools](#cli-tools) (21) - [Desktop & Mobile Clients](#desktop-&-mobile-clients) (17) - [IDE Extensions & Code Assistants](#ide-extensions-&-code-assistants) (12) - [Agent Orchestration Platforms](#agent-orchestration-platforms) (18) - [Domain-Specific Integrations](#domain-specific-integrations) (8) - [MCP Frameworks and libraries](#mcp-frameworks-and-libraries) - [Python](#python) (40) - [TypeScript](#typescript) (39) - [Go](#go) (6) - [C#](#c#) (3) - [Kotlin](#kotlin) (3) - [Java](#java) (3) - [PHP](#php) (1) - [Ruby](#ruby) (2) - [Rust](#rust) (4) - [Swift](#swift) (3) - [MCP Utilities & Tools](#mcp-utilities-&-tools) - [Testing & Debugging](#testing-&-debugging) (3) - [Gateways](#gateways) (12) - [MCP Resources & Educational Materials](#mcp-resources-&-educational-materials) (19) ## MCP Servers ### Databases - [alexander-zuev/supabase-mcp-server](https://github.com/alexander-zuev/supabase-mcp-server) (815 Python) - An open-source MCP server for Supabase enabling safe SQL query execution, schema management, and Supabase API integration via a chat interface. - [benborla/mcp-server-mysql](https://github.com/benborla/mcp-server-mysql) (1294 TypeScript) - mcp-server-mysql is a Model Context Protocol server that provides secure, read-only access to MySQL databases, enabling large language models to inspect schemas and execute SQL queries efficiently. - [blurrah/mcp-graphql](https://github.com/blurrah/mcp-graphql) (364 TypeScript) - mcp-graphql is an MCP server that enables large language models to dynamically interact with GraphQL APIs through schema introspection and query execution. - [bytebase/dbhub](https://github.com/bytebase/dbhub) (2258 TypeScript) - DBHub is a universal database gateway implementing the Model Context Protocol (MCP) server interface, enabling MCP clients to connect to and explore multiple database systems including MySQL, PostgreSQL, Oracle, SQL Server, MariaDB, and SQLite. - [Canner/wren-engine](https://github.com/Canner/wren-engine) (561 Java) - Wren Engine is a semantic engine for Model Context Protocol (MCP) clients and AI agents that enables precise, context-aware access to enterprise business data with governance and interoperability. - [centralmind/gateway](https://github.com/centralmind/gateway) (517 Go) - CentralMind Gateway is a universal MCP server that automatically generates secure, AI-optimized APIs for structured databases, enabling seamless integration with AI agents and LLMs via MCP and OpenAPI protocols. - [chatmcp/mcpso](https://github.com/chatmcp/mcpso) (1977 TypeScript) - A directory platform for discovering and exploring Awesome MCP Servers, supporting the MCP ecosystem through server discovery and community engagement. - [chroma-core/chroma-mcp](https://github.com/chroma-core/chroma-mcp) (509 Python) - Chroma MCP Server is an implementation of the Model Context Protocol that provides advanced database capabilities for managing and retrieving contextual data collections in LLM applications using Chroma. - [ClickHouse/mcp-clickhouse](https://github.com/ClickHouse/mcp-clickhouse) (707 Python) - ClickHouse MCP Server is an MCP protocol implementation that enables secure, read-only SQL querying and database exploration for ClickHouse clusters, integrated with Claude Desktop and supporting local and cloud deployments. - [crystaldba/postgres-mcp](https://github.com/crystaldba/postgres-mcp) (2292 Python) - Postgres MCP Pro is an open-source Model Context Protocol server for PostgreSQL that provides advanced database health monitoring, index tuning, query plan analysis, and safe SQL execution to support AI agents and developers throughout the application lifecycle. - [dbt-labs/dbt-mcp](https://github.com/dbt-labs/dbt-mcp) (504 Python) - dbt-labs/dbt-mcp is an MCP server that enables standardized interaction with dbt, facilitating data model management and querying through the Model Context Protocol. - [designcomputer/mysql_mcp_server](https://github.com/designcomputer/mysql_mcp_server) (1151 Python) - MySQL MCP Server is a Model Context Protocol implementation that enables secure and structured interaction between AI applications and MySQL databases through a controlled server interface. - [dolthub/dolt](https://github.com/dolthub/dolt) (19195 Go) - Dolt is a SQL database with Git-like version control capabilities, enabling users to manage, version, and collaborate on data and schemas as easily as code in Git repositories. - [domdomegg/airtable-mcp-server](https://github.com/domdomegg/airtable-mcp-server) (429 TypeScript) - A Model Context Protocol server that enables AI systems to read, write, and manage Airtable databases by providing schema inspection and record manipulation capabilities. - [elastic/mcp-server-elasticsearch](https://github.com/elastic/mcp-server-elasticsearch) (618 JavaScript) - Elasticsearch MCP Server is an experimental project that connects Elasticsearch data to MCP Clients, enabling natural language interaction with Elasticsearch indices and search capabilities through the Model Context Protocol. - [FreePeak/db-mcp-server](https://github.com/FreePeak/db-mcp-server) (351 Go) - FreePeak/db-mcp-server is a multi-database server implementing the Model Context Protocol (MCP) to enable AI assistants to access and manage multiple databases through a unified and structured interface. - [genomoncology/biomcp](https://github.com/genomoncology/biomcp) (456 Python) - BioMCP is an open-source toolkit implementing the Model Context Protocol to connect AI systems with authoritative biomedical data sources, enabling precise and in-depth answers about clinical trials, scientific literature, and genomic variants. - [googleapis/genai-toolbox](https://github.com/googleapis/genai-toolbox) (13328 Go) - MCP Toolbox for Databases is an open-source MCP server that simplifies and secures generative AI tool development by providing efficient database access and management through a centralized control plane. - [julien040/anyquery](https://github.com/julien040/anyquery) (1631 Go) - Anyquery is an extensible SQL query engine that enables querying diverse data sources and applications with SQL and connects to large language models using the Model Context Protocol (MCP). - [kruskal-labs/toolfront](https://github.com/kruskal-labs/toolfront) (824 Python) - ToolFront is a project that enables AI agents to seamlessly connect with and learn from big data sources through the Model Context Protocol, enhancing AI's ability to query and understand large databases and APIs efficiently. - [makenotion/notion-mcp-server](https://github.com/makenotion/notion-mcp-server) (4000 TypeScript) - The Notion MCP Server is an official MCP server implementation that enables secure, programmatic interaction with Notion content through MCP commands, optimized for AI agents and supporting multiple deployment options. - [mindsdb/mindsdb](https://github.com/mindsdb/mindsdb) (38656 Python) - MindsDB is an AI-powered federated query engine and platform with an MCP server that enables querying and learning from large-scale, disparate data sources using natural language and SQL. - [mongodb-js/mongodb-mcp-server](https://github.com/mongodb-js/mongodb-mcp-server) (906 TypeScript) - mongodb-js/mongodb-mcp-server is a Model Context Protocol server enabling standardized interaction and management of MongoDB databases and MongoDB Atlas clusters through MCP tools. - [motherduckdb/mcp-server-motherduck](https://github.com/motherduckdb/mcp-server-motherduck) (355 Python) - MotherDuck's DuckDB MCP Server is an MCP server implementation that enables SQL analytics on DuckDB and MotherDuck databases, providing seamless data querying capabilities to AI Assistants and IDEs through the Model Context Protocol. - [neo4j-contrib/mcp-neo4j](https://github.com/neo4j-contrib/mcp-neo4j) (912 Python) - This project implements the Model Context Protocol (MCP) for Neo4j, enabling natural language interaction with Neo4j graph databases and cloud services through various MCP clients. - [neondatabase-labs/mcp-server-neon](https://github.com/neondatabase-labs/mcp-server-neon) (560 TypeScript) - Neon MCP Server is an open-source tool that enables natural language interaction with Neon Postgres databases via the Model Context Protocol, simplifying database management and migrations through conversational commands. - [neondatabase/mcp-server-neon](https://github.com/neondatabase/mcp-server-neon) (491 TypeScript) - Neon MCP Server is an open-source MCP server that enables natural language interaction with Neon Postgres databases, translating conversational commands into API calls for seamless database management. - [qdrant/mcp-server-qdrant](https://github.com/qdrant/mcp-server-qdrant) (1266 Python) - mcp-server-qdrant is an official Model Context Protocol server implementation for Qdrant that enables semantic memory management and integration with LLM applications through vector search. - [redis/mcp-redis](https://github.com/redis/mcp-redis) (447 Python) - The Redis MCP Server is a natural language interface MCP Server that enables AI-driven applications to efficiently manage and search data in Redis using the Model Content Protocol. - [runekaagaard/mcp-alchemy](https://github.com/runekaagaard/mcp-alchemy) (395 Python) - MCP Alchemy is an MCP server that enables large language models like Claude Desktop to access, understand, and interact with various relational databases through SQL queries and schema exploration. - [subnetmarco/pgmcp](https://github.com/subnetmarco/pgmcp) (524 Go) - PGMCP is an MCP server that enables natural language querying of any PostgreSQL database through AI assistants, providing secure, read-only access with automatic streaming and robust error handling. - [suekou/mcp-notion-server](https://github.com/suekou/mcp-notion-server) (864 TypeScript) - Notion MCP Server is an MCP server that enables large language models to efficiently interact with Notion workspaces by converting content to Markdown to optimize token usage. - [supabase-community/supabase-mcp](https://github.com/supabase-community/supabase-mcp) (2516 TypeScript) - Supabase MCP Server connects Supabase projects to AI assistants using the Model Context Protocol, enabling LLMs to manage and query Supabase resources. - [timescale/pg-aiguide](https://github.com/timescale/pg-aiguide) (1590 Python) - pg-aiguide is an MCP server and Claude plugin that enhances AI coding tools by providing version-aware PostgreSQL expertise, semantic search, and best practices to generate better, modern, and maintainable PostgreSQL code. ### Cloud & DevOps - [anaisbetts/mcp-installer](https://github.com/anaisbetts/mcp-installer) (1508 JavaScript) - mcp-installer is an MCP server that automates the installation of other MCP servers via natural language commands to Claude, supporting packages from npm and PyPi. - [apache/apisix](https://github.com/apache/apisix) (16283 Lua) - Apache APISIX is a high-performance cloud-native API Gateway and AI Gateway that supports Model Context Protocol (MCP) integration through its mcp-bridge plugin, offering dynamic traffic management, security, and observability features. - [awslabs/mcp](https://github.com/awslabs/mcp) (8388 Python) - AWS MCP Servers is a suite of specialized Model Context Protocol servers that integrate AWS best practices and resources into AI-powered development workflows to enhance cloud-native development and infrastructure management. - [Azure/azure-mcp](https://github.com/Azure/azure-mcp) (1208 PowerShell) - The Azure MCP Server is a Microsoft Azure project implementing the Model Context Protocol to enable AI agents to interact naturally and seamlessly with various Azure cloud services through natural language commands. - [beclab/Olares](https://github.com/beclab/Olares) (4179 Shell) - Olares is an open-source personal cloud operating system that enables users to run local AI models and applications with personalized, context-aware AI interactions using a Model Context Protocol-like mechanism, providing a private and secure AI home server environment. - [burugo/one-mcp](https://github.com/burugo/one-mcp) (349 Go) - One MCP is a centralized proxy platform for managing, monitoring, and configuring Model Context Protocol (MCP) services through a single web-based interface. - [ckreiling/mcp-server-docker](https://github.com/ckreiling/mcp-server-docker) (685 Python) - An MCP server that enables natural language management of Docker containers, allowing users to compose, debug, and manage containers and volumes through AI-driven conversational interactions. - [cloudflare/mcp-server-cloudflare](https://github.com/cloudflare/mcp-server-cloudflare) (3519 TypeScript) - Cloudflare MCP Server is a suite of MCP servers that enable large language model clients to interact with and manage Cloudflare's cloud services through natural language commands, facilitating automation and insights across various domains. - [Flux159/mcp-server-kubernetes](https://github.com/Flux159/mcp-server-kubernetes) (1340 TypeScript) - MCP Server Kubernetes is an MCP server that connects to Kubernetes clusters to manage resources and execute Kubernetes commands programmatically or via chat interfaces. - [GoogleCloudPlatform/cloud-run-mcp](https://github.com/GoogleCloudPlatform/cloud-run-mcp) (552 JavaScript) - cloud-run-mcp is an MCP server that enables AI agents and applications to securely deploy and manage code on Google Cloud Run, supporting both local and remote deployment scenarios. - [grafana/mcp-grafana](https://github.com/grafana/mcp-grafana) (2494 Go) - mcp-grafana is an MCP server that provides comprehensive programmatic access to Grafana's dashboards, datasources, alerts, incidents, and on-call management features through MCP clients. - [hashicorp/terraform-mcp-server](https://github.com/hashicorp/terraform-mcp-server) (1265 Go) - Terraform MCP Server is an MCP server that integrates with Terraform Registry APIs to automate and enhance Infrastructure as Code development workflows. - [kubeshark/kubeshark](https://github.com/kubeshark/kubeshark) (11816 Go) - Kubeshark provides cluster-wide network observability for Kubernetes, capturing L4 packets, L7 API calls, and decrypted TLS traffic using eBPF, with full Kubernetes context and AI integration via MCP. - [Kymo-MCP/mcpcan](https://github.com/Kymo-MCP/mcpcan) (716 Go) - MCPCAN is an open-source centralized management platform for MCP services that enables containerized deployment, multi-protocol support, real-time monitoring, security authentication, and rapid service lifecycle management. - [leonardsellem/n8n-mcp-server](https://github.com/leonardsellem/n8n-mcp-server) (1574 TypeScript) - n8n MCP Server is an MCP server that enables AI assistants to manage and execute n8n workflows through natural language commands and API integration. - [manusa/kubernetes-mcp-server](https://github.com/manusa/kubernetes-mcp-server) (1242 Go) - kubernetes-mcp-server is a native Model Context Protocol server implementation that enables flexible and powerful management of Kubernetes and OpenShift clusters without external dependencies. - [metorial/mcp-containers](https://github.com/metorial/mcp-containers) (3229 TypeScript) - MCP Containers offers containerized versions of hundreds of MCP servers, enabling easy, secure, and up-to-date deployment of Model Context Protocol servers for AI integration and experimentation. - [modelcontextprotocol/registry](https://github.com/modelcontextprotocol/registry) (6531 Go) - MCP Registry is a community-driven centralized service offering a RESTful API for discovering, managing, and publishing Model Context Protocol (MCP) servers with MongoDB and Docker support. - [nwiizo/tfmcp](https://github.com/nwiizo/tfmcp) (357 Rust) - tfmcp is a CLI tool implementing the Model Context Protocol to enable AI assistants to efficiently manage and operate Terraform environments with advanced security and automation features. - [pab1it0/prometheus-mcp-server](https://github.com/pab1it0/prometheus-mcp-server) (379 Python) - Prometheus MCP Server is an MCP server that enables AI assistants to query and analyze Prometheus metrics through standardized MCP interfaces with support for authentication and Docker deployment. - [QuantGeekDev/docker-mcp](https://github.com/QuantGeekDev/docker-mcp) (455 Python) - docker-mcp is a Model Context Protocol server that enables Docker container and Compose stack management through Claude AI, providing tools for container creation, deployment, log retrieval, and monitoring. - [ravitemer/mcp-hub](https://github.com/ravitemer/mcp-hub) (450 JavaScript) - MCP Hub is a centralized management server that coordinates multiple MCP servers, providing dynamic server management, real-time monitoring, and unified API access according to the MCP 2025-03-26 specification. - [rohitg00/awesome-devops-mcp-servers](https://github.com/rohitg00/awesome-devops-mcp-servers) (929 ) - A curated list of Model Context Protocol (MCP) servers focused on DevOps tools and capabilities, enabling AI-driven management of cloud infrastructure, container orchestration, and cloud services. - [rohitg00/kubectl-mcp-server](https://github.com/rohitg00/kubectl-mcp-server) (846 Python) - kubectl-mcp-server is an MCP server for Kubernetes that enables AI assistants to manage Kubernetes clusters through natural language commands, providing comprehensive cluster operations, monitoring, security, and diagnostics. - [stacklok/toolhive](https://github.com/stacklok/toolhive) (1556 Go) - ToolHive is a CLI utility that simplifies and secures the deployment and management of Model Context Protocol (MCP) servers using containerization and standardized packaging. - [StacklokLabs/toolhive](https://github.com/StacklokLabs/toolhive) (1634 Go) - ToolHive is a lightweight CLI utility that simplifies and secures the deployment and management of Model Context Protocol (MCP) servers using containerization and enterprise-grade authorization controls. - [strowk/mcp-k8s-go](https://github.com/strowk/mcp-k8s-go) (374 Go) - mcp-k8s-go is a Golang-based MCP server that connects to Kubernetes clusters, enabling users to manage and query Kubernetes resources through the Model Context Protocol interface. - [Tiberriver256/mcp-server-azure-devops](https://github.com/Tiberriver256/mcp-server-azure-devops) (340 TypeScript) - An MCP server implementation for Azure DevOps that enables AI assistants to interact with Azure DevOps APIs through a standardized protocol, supporting secure authentication and a variety of DevOps operations. ### Browser Automation - [aaronjmars/opendia](https://github.com/aaronjmars/opendia) (1781 JavaScript) - OpenDia is a privacy-first browser automation tool that connects AI models to Chromium-based browsers using the Model Context Protocol, enabling seamless AI-driven interactions and automation without switching browsers. - [agent-infra/sandbox](https://github.com/agent-infra/sandbox) (2902 Python) - agent-infra/sandbox is an all-in-one sandbox environment combining Browser, Shell, File, MCP, and VSCode Server in a single Docker container, providing a unified, secure, and agent-ready platform for AI agent development and testing. - [AgentDeskAI/browser-tools-mcp](https://github.com/AgentDeskAI/browser-tools-mcp) (7108 JavaScript) - BrowserTools MCP is a powerful browser monitoring and interaction tool that leverages the Model Context Protocol to enable AI-powered applications to capture and analyze browser data directly within MCP-compatible IDEs. - [apify/actors-mcp-server](https://github.com/apify/actors-mcp-server) (875 TypeScript) - Apify MCP Server is an MCP protocol server implementation that enables AI assistants to interact with Apify Actors for data extraction, web scraping, and automation tasks through a standardized protocol. - [brightdata/brightdata-mcp](https://github.com/brightdata/brightdata-mcp) (2169 JavaScript) - Bright Data MCP is a Model Context Protocol server that enables AI agents and applications to access and extract real-time web data seamlessly, enhancing their capabilities with live information. - [browser-use/vibetest-use](https://github.com/browser-use/vibetest-use) (772 Python) - Vibetest MCP is an automated QA testing tool using Browser-Use agents within the MCP framework to detect UI bugs, broken links, and accessibility issues on vibe-coded websites. - [browserbase/mcp-server-browserbase](https://github.com/browserbase/mcp-server-browserbase) (3182 TypeScript) - Browserbase MCP Server enables LLMs to control and interact with web browsers using the Model Context Protocol, providing cloud browser automation and advanced web interaction capabilities. - [BrowserMCP/mcp](https://github.com/BrowserMCP/mcp) (5991 TypeScript) - Browser MCP is an MCP server and Chrome extension that enables AI applications to automate and control your browser locally using your existing browser profile for privacy, speed, and stealth. - [co-browser/browser-use-mcp-server](https://github.com/co-browser/browser-use-mcp-server) (811 Python) - browser-use-mcp-server is an MCP server that enables AI agents to control web browsers using browser automation with support for multiple transport protocols and real-time VNC streaming. - [executeautomation/mcp-playwright](https://github.com/executeautomation/mcp-playwright) (5292 TypeScript) - executeautomation/mcp-playwright is a Model Context Protocol server that enables AI-driven browser automation and web interactions using Playwright. - [hyperbrowserai/mcp](https://github.com/hyperbrowserai/mcp) (630 TypeScript) - Hyperbrowser MCP Server is an implementation of the Model Context Protocol providing AI-powered tools for web scraping, data extraction, and browser automation using various browser agents. - [jae-jae/fetcher-mcp](https://github.com/jae-jae/fetcher-mcp) (1002 TypeScript) - Fetcher MCP is an MCP server that uses Playwright to fetch and intelligently extract web page content, supporting JavaScript execution, parallel processing, and flexible output formats. - [mendableai/firecrawl-mcp-server](https://github.com/mendableai/firecrawl-mcp-server) (3683 JavaScript) - Firecrawl MCP Server is an MCP server implementation that integrates web scraping capabilities with LLM clients like Cursor and Claude to enable advanced content extraction and research. - [microsoft/playwright-mcp](https://github.com/microsoft/playwright-mcp) (28450 TypeScript) - Playwright MCP is an MCP server that enables LLMs to automate and interact with web browsers using structured accessibility snapshots for efficient and deterministic browser automation. - [Operative-Sh/web-eval-agent](https://github.com/Operative-Sh/web-eval-agent) (1239 Python) - Operative-Sh/web-eval-agent is an MCP server that autonomously evaluates and debugs web applications by navigating, capturing network traffic, and collecting console errors to verify code functionality end-to-end. - [OTA-Tech-AI/web-agent-protocol](https://github.com/OTA-Tech-AI/web-agent-protocol) (492 Python) - Web Agent Protocol (WAP) is a standardized framework that records and replays user interactions in browsers with support for Model Context Protocol (MCP), enabling efficient automation and reuse of browser actions. - [refreshdotdev/web-eval-agent](https://github.com/refreshdotdev/web-eval-agent) (1239 Python) - An MCP server that autonomously evaluates web applications by driving a browser to test UX, capture logs, and generate detailed reports within the developer's IDE. - [remorses/playwriter](https://github.com/remorses/playwriter) (3055 TypeScript) - Playwriter is a browser extension-based Model Context Protocol (MCP) that enables efficient and powerful AI-driven browser automation using the full Playwright API with minimal context window usage. - [Skyvern-AI/skyvern](https://github.com/Skyvern-AI/skyvern) (20716 Python) - Skyvern automates browser-based workflows using large language models and computer vision, providing a robust and scalable web automation solution that integrates with the Model Context Protocol (MCP). - [stickerdaniel/linkedin-mcp-server](https://github.com/stickerdaniel/linkedin-mcp-server) (1011 Python) - LinkedIn MCP Server is an MCP server that enables AI assistants like Claude to interact with LinkedIn for profile scraping, company analysis, job searches, and personalized job recommendations through a Docker-based setup. ### Software Development - [cameroncooke/XcodeBuildMCP](https://github.com/cameroncooke/XcodeBuildMCP) (4635 TypeScript) - XcodeBuildMCP is an MCP server that provides Xcode-related tools enabling AI agents to autonomously manage, build, and interact with Xcode projects and iOS simulators for automated development workflows. - [Coding-Solo/godot-mcp](https://github.com/Coding-Solo/godot-mcp) (2228 JavaScript) - Godot MCP is an MCP server that enables AI assistants to interact with the Godot game engine by launching editors, running projects, capturing debug output, and managing scenes through a standardized interface. - [comet-ml/opik](https://github.com/comet-ml/opik) (18105 Python) - Opik is an open-source platform for debugging, evaluating, and monitoring large language model applications with comprehensive tracing, automated evaluations, and production-ready dashboards. - [dadbodgeoff/drift](https://github.com/dadbodgeoff/drift) (759 TypeScript) - Drift is a tool that scans and learns your codebase patterns to provide AI agents with context via the Model Context Protocol, enabling AI to write code that fits your project's conventions accurately. - [docfork/docfork](https://github.com/docfork/docfork) (403 TypeScript) - Docfork is an MCP server that delivers up-to-date, context-isolated documentation for AI agents, ensuring accurate and efficient coding assistance by locking to verified technology stacks. - [e2b-dev/mcp-server](https://github.com/e2b-dev/mcp-server) (382 JavaScript) - The e2b-dev/mcp-server project is an MCP server that enables Claude Desktop to run code via the E2B Sandbox, supporting JavaScript and Python editions for enhanced code interpreting capabilities. - [ee0pdt/Godot-MCP](https://github.com/ee0pdt/Godot-MCP) (486 GDScript) - Godot MCP is a plugin that integrates the Godot game engine with AI assistants using the Model Context Protocol, enabling natural language interaction for game development tasks such as scripting, scene editing, and project management. - [eyaltoledano/claude-task-master](https://github.com/eyaltoledano/claude-task-master) (25832 JavaScript) - Claude Task Master is an AI-powered task management system designed for AI-driven development that integrates seamlessly with various editors via the Model Control Protocol (MCP). - [fcakyon/claude-codex-settings](https://github.com/fcakyon/claude-codex-settings) (455 Python) - A comprehensive personal setup for Claude Code and OpenAI Codex featuring battle-tested skills, commands, hooks, agents, and MCP servers for enhanced daily productivity and automation. - [getsentry/XcodeBuildMCP](https://github.com/getsentry/XcodeBuildMCP) (4635 TypeScript) - An MCP server and CLI tool for agent interaction with Xcode builds on iOS and macOS. - [github/github-mcp-server](https://github.com/github/github-mcp-server) (27648 Go) - GitHub MCP Server is an official Model Context Protocol server that integrates with GitHub APIs to enable advanced automation and AI-powered interactions with GitHub repositories and workflows. - [idosal/git-mcp](https://github.com/idosal/git-mcp) (7724 TypeScript) - GitMCP is an open-source remote Model Context Protocol server that transforms GitHub projects into AI-accessible documentation hubs to eliminate code hallucinations and provide accurate, up-to-date code information. - [isaacphi/mcp-language-server](https://github.com/isaacphi/mcp-language-server) (1471 Go) - The mcp-language-server is an MCP server that exposes language servers to MCP clients, enabling advanced semantic code navigation and interaction for large language models and other MCP-enabled tools. - [jamubc/gemini-mcp-tool](https://github.com/jamubc/gemini-mcp-tool) (2039 JavaScript) - gemini-mcp-tool is an MCP server that enables AI assistants to leverage Google Gemini CLI's large token window for advanced large file and codebase analysis within AI environments like Claude Code. - [janwilmake/openapi-mcp-server](https://github.com/janwilmake/openapi-mcp-server) (883 JavaScript) - OpenAPI MCP Server is an MCP server that enables AI models to explore and understand OpenAPI specifications using simple language for easier API integration and usage. - [jarrodwatts/claude-delegator](https://github.com/jarrodwatts/claude-delegator) (891 ) - Claude Delegator is a plugin for Claude Code that uses the Model Context Protocol to delegate complex coding tasks to specialized GPT experts, enhancing AI-assisted development workflows. - [jasonjmcghee/claude-debugs-for-you](https://github.com/jasonjmcghee/claude-debugs-for-you) (492 TypeScript) - Claude Debugs For You is a VS Code extension and MCP server that enables large language models like Claude to interactively debug code in any language using breakpoints and expression evaluation. - [jerhadf/linear-mcp-server](https://github.com/jerhadf/linear-mcp-server) (344 JavaScript) - The Linear MCP Server is an MCP server that integrates Linear's project management system with the Model Context Protocol, enabling LLMs to interact with Linear issues through tools for creating, updating, searching, and commenting on issues. - [JetBrains/mcp-jetbrains](https://github.com/JetBrains/mcp-jetbrains) (943 JavaScript) - JetBrains MCP Proxy Server is an MCP server that enables communication and integration between JetBrains IDEs and external clients, enhancing interoperability and AI-assisted development workflows. - [juehang/vscode-mcp-server](https://github.com/juehang/vscode-mcp-server) (337 TypeScript) - A Visual Studio Code extension implementing a Model Context Protocol server that exposes VS Code editing and filesystem features to AI models and MCP clients for enhanced AI-assisted coding workflows. - [maxritter/claude-codepro](https://github.com/maxritter/claude-codepro) (1508 Python) - Claude CodePro is a professional development environment for Claude Code that enforces spec-driven development and TDD, integrates MCP servers for enhanced context and semantic search, and provides modular rules and quality hooks to improve software delivery systematically. - [oraios/serena](https://github.com/oraios/serena) (21164 Python) - Serena is a free and open-source coding agent toolkit that uses the Model Context Protocol to enable LLMs to autonomously perform semantic code retrieval and editing with IDE-like precision on complex codebases. - [paiml/depyler](https://github.com/paiml/depyler) (312 Rust) - Depyler is a Python-to-Rust transpiler with semantic verification and memory safety analysis, available as an MCP server to assist AI tools in migrating Python codebases to safe and efficient Rust code. - [r-huijts/xcode-mcp-server](https://github.com/r-huijts/xcode-mcp-server) (362 TypeScript) - Xcode MCP Server is an MCP server implementation that enables AI assistants to interact with Xcode projects, manage iOS simulators, and perform various Xcode-related tasks through the Model Context Protocol. - [rusiaaman/wcgw](https://github.com/rusiaaman/wcgw) (648 Python) - wcgw is an MCP server that integrates shell and coding tools to enable AI-assisted coding, building, and running tasks on local machines through the Claude desktop app and other MCP clients. - [sickn33/antigravity-awesome-skills](https://github.com/sickn33/antigravity-awesome-skills) (5768 Python) - Antigravity Awesome Skills is a curated library of over 625 agentic skills that enhance AI coding assistants across multiple platforms, transforming them into expert full-stack digital agencies for software development and operational tasks. - [snagasuri/deebo-prototype](https://github.com/snagasuri/deebo-prototype) (615 JavaScript) - Deebo is an autonomous debugging agent MCP server that accelerates AI coding agents' debugging process by launching automated investigations and providing multi-threaded debugging support. - [SonarSource/sonarqube-mcp-server](https://github.com/SonarSource/sonarqube-mcp-server) (411 Java) - SonarQube MCP Server is an MCP server enabling integration with SonarQube Cloud or Server for code quality and security analysis within various development environments. - [sooperset/mcp-atlassian](https://github.com/sooperset/mcp-atlassian) (4528 Python) - MCP Atlassian is an MCP server enabling AI-powered automation and interaction with Atlassian tools like Confluence and Jira across Cloud and Server deployments. - [steipete/claude-code-mcp](https://github.com/steipete/claude-code-mcp) (1167 JavaScript) - Claude Code MCP Server is an MCP server that integrates Claude Code as a one-shot tool with automatic permissions bypass, enhancing AI agents' coding and file operation capabilities within the MCP ecosystem. - [superset-sh/superset](https://github.com/superset-sh/superset) (6046 TypeScript) - Superset is a turbocharged terminal that enables parallel execution and management of CLI coding agents within isolated Git worktrees, providing a unified interface for AI-driven development. - [upstash/context7](https://github.com/upstash/context7) (48187 JavaScript) - Context7 MCP Server is an MCP server that delivers up-to-date, version-specific code documentation and examples to enhance LLMs and AI code editors, ensuring accurate and current code generation. - [yoanbernabeu/grepai](https://github.com/yoanbernabeu/grepai) (1078 Go) - grepai is a privacy-first CLI tool for semantic code search that uses vector embeddings to enable natural language queries and integrates with AI agents via an MCP server. ### Desktop Automation - [ashwwwin/automation-mcp](https://github.com/ashwwwin/automation-mcp) (378 TypeScript) - Automation MCP is a Model Context Protocol server that enables AI models to perform comprehensive desktop automation on macOS, including mouse, keyboard, screen, and window management. - [BandarLabs/coderunner](https://github.com/BandarLabs/coderunner) (796 Python) - CodeRunner is an MCP server that securely executes AI-generated code locally on macOS using Apple's container technology, enabling private and efficient processing of local files with remote LLMs. - [baryhuang/mcp-remote-macos-use](https://github.com/baryhuang/mcp-remote-macos-use) (465 Python) - An open-source MCP server enabling autonomous AI agents to fully control remote macOS systems through Claude Desktop without extra API keys or software installations. - [bytedance/UI-TARS-desktop](https://github.com/bytedance/UI-TARS-desktop) (28633 TypeScript) - UI-TARS Desktop is a cross-platform GUI Agent application that uses a vision-language model to enable natural language control of computers with precise visual recognition and real-time feedback, integrating Model Context Protocol tools for advanced multimodal AI-driven automation. - [CursorTouch/Windows-MCP](https://github.com/CursorTouch/Windows-MCP) (4599 Python) - Windows-MCP is a lightweight, open-source MCP server that enables seamless integration and automation between AI agents using LLMs and the Windows operating system, supporting a wide range of UI interactions and system controls. - [ferrislucas/iterm-mcp](https://github.com/ferrislucas/iterm-mcp) (533 TypeScript) - iterm-mcp is a Model Context Protocol server that enables AI models to interact with and control an iTerm terminal session for enhanced REPL and CLI assistance. - [instavm/open-skills](https://github.com/instavm/open-skills) (380 Python) - OpenSkills enables running Claude Skills locally on Apple Silicon Macs in a secure, sandboxed environment compatible with MCP tools, ensuring privacy and extensibility. - [joshrutkowski/applescript-mcp](https://github.com/joshrutkowski/applescript-mcp) (319 TypeScript) - applescript-mcp is a Model Context Protocol server that enables AI applications to interact with macOS through AppleScript, providing extensive control over system functions, files, notifications, and more. - [joshuayoes/ios-simulator-mcp](https://github.com/joshuayoes/ios-simulator-mcp) (1721 JavaScript) - ios-simulator-mcp is an MCP server enabling AI-driven interaction, control, and inspection of iOS simulators for automated UI testing and quality assurance. - [mediar-ai/terminator](https://github.com/mediar-ai/terminator) (1307 Rust) - Terminator is an open-source automation tool for Windows that leverages the Model Context Protocol to enable AI-driven desktop and browser automation with high reliability and speed. - [peakmojo/applescript-mcp](https://github.com/peakmojo/applescript-mcp) (413 Python) - An MCP server that executes AppleScript to provide full control and automation of Mac applications and system features through simple and minimal setup. - [recursechat/mcp-server-apple-shortcuts](https://github.com/recursechat/mcp-server-apple-shortcuts) (311 JavaScript) - An MCP server that enables AI assistants like Claude to safely control and automate Apple Shortcuts on macOS. - [steipete/Peekaboo](https://github.com/steipete/Peekaboo) (2633 TypeScript) - Peekaboo is a macOS-only MCP server and CLI tool that enables AI agents to capture and analyze screenshots with AI vision models for visual question answering and automation. - [wonderwhy-er/DesktopCommanderMCP](https://github.com/wonderwhy-er/DesktopCommanderMCP) (5631 TypeScript) - Desktop Commander MCP is an MCP server for Claude that integrates AI with terminal control, file system search, and file editing capabilities, enabling advanced desktop automation and development workflows. ### Social & Messaging - [abhiz123/todoist-mcp-server](https://github.com/abhiz123/todoist-mcp-server) (377 JavaScript) - Todoist MCP Server is an MCP server implementation that integrates Claude AI with Todoist, enabling natural language task management including creating, updating, completing, and deleting tasks. - [adhikasp/mcp-reddit](https://github.com/adhikasp/mcp-reddit) (342 Python) - mcp-reddit is a Model Context Protocol server that provides tools to fetch and analyze Reddit content, including hot threads, detailed posts, and comments from various subreddits. - [arlanrakh/talk-to-girlfriend-ai](https://github.com/arlanrakh/talk-to-girlfriend-ai) (510 Python) - An AI-powered Telegram agent that leverages the Model Context Protocol to provide intelligent, context-aware messaging and chat management features tailored for dating and social interactions. - [chatmcp/mcp-server-chatsum](https://github.com/chatmcp/mcp-server-chatsum) (1035 TypeScript) - mcp-server-chatsum is an MCP server that enables querying and summarizing chat messages to facilitate efficient chat data management and review. - [chigwell/telegram-mcp](https://github.com/chigwell/telegram-mcp) (774 Python) - Telegram MCP Server is a full-featured integration that enables programmatic interaction with Telegram accounts through the Model Context Protocol, providing extensive tools for messaging, chat and group management, contact handling, and more. - [EnesCinr/twitter-mcp](https://github.com/EnesCinr/twitter-mcp) (372 TypeScript) - twitter-mcp is an MCP server that enables clients to post and search tweets on Twitter through the Model Context Protocol. - [GongRzhe/Gmail-MCP-Server](https://github.com/GongRzhe/Gmail-MCP-Server) (1053 JavaScript) - Gmail AutoAuth MCP Server is an MCP server that enables AI assistants to manage Gmail through natural language commands with full Gmail API integration and OAuth2 authentication support. - [InditexTech/mcp-teams-server](https://github.com/InditexTech/mcp-teams-server) (357 Python) - MCP Teams Server is an MCP protocol server implementation enabling Microsoft Teams integration with capabilities to read, create, reply to messages, and mention members within Teams channels. - [korotovsky/slack-mcp-server](https://github.com/korotovsky/slack-mcp-server) (1429 Go) - A feature-rich Model Context Protocol (MCP) server for Slack Workspaces supporting stealth and OAuth modes, multiple transports, proxy settings, and comprehensive Slack message and channel interactions without requiring workspace permissions or bot approvals. - [lharries/whatsapp-mcp](https://github.com/lharries/whatsapp-mcp) (5392 Go) - WhatsApp MCP Server is an MCP server that enables AI-driven interaction with personal WhatsApp messages and media through integration with LLMs like Claude, using a Go bridge and Python MCP server architecture. - [line/line-bot-mcp-server](https://github.com/line/line-bot-mcp-server) (525 JavaScript) - An MCP server implementation that integrates the LINE Messaging API to connect AI Agents with LINE Official Accounts for automated and customizable messaging. ### Security & Reverse Engineering - [0xKoda/WireMCP](https://github.com/0xKoda/WireMCP) (380 JavaScript) - WireMCP is an MCP server that empowers Large Language Models with real-time network traffic analysis using Wireshark's tshark tool to provide structured context for threat detection, diagnostics, and anomaly identification. - [ant4g0nist/lisa.py](https://github.com/ant4g0nist/lisa.py) (742 Python) - LLDB MCP Integration enables AI assistants like Claude to interact with LLDB debugging sessions through the Model-Context Protocol, facilitating natural language debugging commands and automation. - [BlackSnufkin/LitterBox](https://github.com/BlackSnufkin/LitterBox) (1319 YARA) - LitterBox is a secure sandbox environment integrating with LLM agents via MCP to provide advanced malware analysis and testing capabilities for red and blue teams before deployment. - [cyproxio/mcp-for-security](https://github.com/cyproxio/mcp-for-security) (540 TypeScript) - MCP for Security is a collection of Model Context Protocol servers that integrate popular security and penetration testing tools into AI workflows through a standardized interface. - [erwinkramer/bank-api](https://github.com/erwinkramer/bank-api) (801 C#) - The Bank API is a compliant, modern reference project for developing secure banking APIs, featuring extensive compliance, security, observability, and exposure via the Model Context Protocol (MCP). - [invariantlabs-ai/mcp-scan](https://github.com/invariantlabs-ai/mcp-scan) (1779 Python) - MCP-Scan is a security tool that statically and dynamically scans and monitors Model Context Protocol (MCP) connections to detect and prevent vulnerabilities such as prompt injections, tool poisoning, and cross-origin escalations. - [LaurieWired/GhidraMCP](https://github.com/LaurieWired/GhidraMCP) (7836 Java) - GhidraMCP is an MCP server that integrates Ghidra's reverse engineering capabilities with MCP clients, enabling automated binary analysis and decompilation through large language models. - [mariocandela/beelzebub](https://github.com/mariocandela/beelzebub) (1886 Go) - Beelzebub is a secure low-code honeypot framework leveraging large language models and the Model Context Protocol (MCP) to detect and analyze cyber attacks, including prompt injection attempts against LLM agents. - [MorDavid/BloodHound-MCP-AI](https://github.com/MorDavid/BloodHound-MCP-AI) (341 Python) - BloodHound-MCP-AI integrates BloodHound with AI through the Model Context Protocol, enabling natural language analysis of Active Directory attack paths for enhanced security assessment. - [mrexodia/ida-pro-mcp](https://github.com/mrexodia/ida-pro-mcp) (6135 Python) - ida-pro-mcp is an MCP server for IDA Pro that enables advanced reverse engineering capabilities through MCP-based interactions and automation. - [Nexus-Router/nexus](https://github.com/Nexus-Router/nexus) (477 Rust) - Nexus is a unified platform for aggregating, governing, and securing multiple MCP servers and LLM providers through a single endpoint, enabling centralized AI service management and control. - [PortSwigger/mcp-server](https://github.com/PortSwigger/mcp-server) (529 Kotlin) - PortSwigger/mcp-server is a Burp Suite extension implementing a Model Context Protocol server to integrate Burp with AI clients for advanced AI-driven security testing and automation workflows. - [safedep/vet](https://github.com/safedep/vet) (968 Go) - safedep/vet is an enterprise-grade open source software supply chain security tool offering next-generation software composition analysis, real-time malicious package detection, policy as code, and multi-ecosystem support, with integration into CI/CD workflows and MCP server capabilities. - [semgrep/mcp](https://github.com/semgrep/mcp) (638 Python) - semgrep/mcp is an MCP server that integrates Semgrep's static code analysis to scan code for security vulnerabilities within MCP-compatible tools and IDEs. - [splx-ai/agentic-radar](https://github.com/splx-ai/agentic-radar) (924 Python) - Agentic Radar is a security scanner tool that analyzes, visualizes, and assesses vulnerabilities in large language model agentic workflows, including MCP server detection and mapping to known security frameworks. - [svnscha/mcp-windbg](https://github.com/svnscha/mcp-windbg) (1066 Python) - mcp-windbg is a Model Context Protocol server that enables AI models to analyze Windows crash dumps using WinDBG through natural language interaction and command execution. - [Wh0am123/MCP-Kali-Server](https://github.com/Wh0am123/MCP-Kali-Server) (551 Python) - MCP Kali Server is a lightweight API bridge that connects MCP clients to a Kali Linux machine, enabling AI-assisted penetration testing and command execution for offensive security tasks. - [zhkl0228/unidbg](https://github.com/zhkl0228/unidbg) (4816 Java) - Unidbg is a powerful Android and iOS native library emulator featuring MCP integration for AI-assisted debugging and advanced reverse engineering capabilities. - [zinja-coder/apktool-mcp-server](https://github.com/zinja-coder/apktool-mcp-server) (313 Python) - apktool-mcp-server is an MCP server integrating Apk Tool with Model Context Protocol to provide live, AI-assisted Android APK reverse engineering and vulnerability analysis using LLMs like Claude. - [zinja-coder/jadx-ai-mcp](https://github.com/zinja-coder/jadx-ai-mcp) (1183 Java) - JADX-AI-MCP is a JADX plugin integrating Model Context Protocol to enable AI-powered live reverse engineering, vulnerability detection, and code analysis of Android APKs using large language models like Claude. ### Design & Visualization - [ahujasid/blender-mcp](https://github.com/ahujasid/blender-mcp) (17595 Python) - BlenderMCP integrates Blender with Claude AI using the Model Context Protocol to enable AI-driven 3D modeling, scene creation, and manipulation through two-way communication and command execution. - [antvis/mcp-server-chart](https://github.com/antvis/mcp-server-chart) (3777 JavaScript) - mcp-server-chart is a TypeScript-based Model Context Protocol server by AntV that generates over 25 types of visual charts using the AntV library and returns image URLs for each chart. - [arinspunk/claude-talk-to-figma-mcp](https://github.com/arinspunk/claude-talk-to-figma-mcp) (315 TypeScript) - Claude Talk to Figma MCP is a Model Context Protocol plugin that enables AI tools like Claude Desktop and GitHub Copilot to interact directly with Figma for AI-assisted design workflows. - [GLips/Figma-Context-MCP](https://github.com/GLips/Figma-Context-MCP) (13491 TypeScript) - GLips/Figma-Context-MCP is an MCP server that provides Figma layout and design information to AI coding agents like Cursor, enabling accurate one-shot design implementation in code. - [GongRzhe/Office-PowerPoint-MCP-Server](https://github.com/GongRzhe/Office-PowerPoint-MCP-Server) (1132 Python) - Office-PowerPoint-MCP-Server is a comprehensive MCP server enabling programmatic creation and manipulation of PowerPoint presentations using the MCP protocol and python-pptx, featuring 32 tools across 11 modules for professional presentation automation. - [hustcc/mcp-mermaid](https://github.com/hustcc/mcp-mermaid) (463 TypeScript) - MCP Mermaid is an AI-powered tool that dynamically generates Mermaid diagrams and charts using the Model Context Protocol, supporting rich styling, multiple export formats, and various transport protocols for flexible integration. - [markmap/markmap](https://github.com/markmap/markmap) (12511 TypeScript) - Markmap is a tool that visualizes Markdown content as interactive mindmaps and includes an MCP Server for enhanced interoperability within the Model Context Protocol ecosystem. - [neka-nat/freecad-mcp](https://github.com/neka-nat/freecad-mcp) (583 Python) - FreeCAD MCP is an MCP server that enables automated and scripted control of FreeCAD through Claude Desktop for enhanced CAD modeling workflows. - [revit-mcp/revit-mcp](https://github.com/revit-mcp/revit-mcp) (363 TypeScript) - revit-mcp is an AI-powered MCP server that enables AI clients to interact with Autodesk Revit for creating, modifying, and managing building elements through the Model Context Protocol. - [sonnylazuardi/cursor-talk-to-figma-mcp](https://github.com/sonnylazuardi/cursor-talk-to-figma-mcp) (6443 JavaScript) - Cursor Talk to Figma MCP integrates Cursor AI with Figma using the Model Context Protocol to enable programmatic reading and modification of Figma designs for enhanced design automation. - [VedantRGosavi/UE5-MCP](https://github.com/VedantRGosavi/UE5-MCP) (360 ) - UE5-MCP is a Model Control Protocol implementation that integrates AI-driven automation into Blender and Unreal Engine 5 workflows to enhance game level creation, asset management, and gameplay programming. ### Knowledge & Memory - [0xranx/OpenContext](https://github.com/0xranx/OpenContext) (414 JavaScript) - OpenContext is a personal context and knowledge store that integrates with existing AI coding agents to provide persistent memory, enabling smarter, context-aware interactions and seamless reuse of project knowledge across sessions and repositories. - [54yyyu/zotero-mcp](https://github.com/54yyyu/zotero-mcp) (1718 Python) - Zotero MCP connects your Zotero research library with AI assistants like Claude via the Model Context Protocol, enabling advanced search, summaries, citation analysis, and PDF annotation extraction for enhanced research workflows. - [anyproto/anytype-mcp](https://github.com/anyproto/anytype-mcp) (323 TypeScript) - The Anytype MCP Server is a Model Context Protocol server that enables AI assistants to interact with Anytype's API through natural language, facilitating seamless knowledge base management. - [arabold/docs-mcp-server](https://github.com/arabold/docs-mcp-server) (1110 TypeScript) - Grounded Docs MCP Server is an open-source, locally running MCP server that indexes and provides version-specific third-party documentation to AI coding assistants, improving accuracy and reducing hallucinations. - [assafelovic/gptr-mcp](https://github.com/assafelovic/gptr-mcp) (329 Python) - GPT Researcher MCP Server is an MCP protocol-based server that enables LLM applications to perform deep, validated, and comprehensive web research, enhancing information quality and reasoning capabilities. - [basicmachines-co/basic-memory](https://github.com/basicmachines-co/basic-memory) (2606 Python) - Basic Memory is a knowledge management system that uses the Model Context Protocol to enable AI assistants to read and write structured knowledge stored locally in Markdown files, creating a persistent semantic graph for ongoing conversations and knowledge building. - [bitbonsai/mcp-obsidian](https://github.com/bitbonsai/mcp-obsidian) (644 Astro) - MCP-Obsidian is a universal AI bridge for Obsidian vaults, enabling safe read/write access for any Model Context Protocol (MCP)-compatible AI assistant, preventing frontmatter corruption. - [blazickjp/arxiv-mcp-server](https://github.com/blazickjp/arxiv-mcp-server) (2294 Python) - ArXiv MCP Server is an MCP server that enables AI assistants to search, access, and analyze arXiv academic papers through a programmatic interface. - [casibase/casibase](https://github.com/casibase/casibase) (4457 Go) - Casibase is an open-source enterprise AI knowledge base platform supporting the Model Context Protocol and multiple AI models with features like admin UI, user management, and Single Sign-On. - [CheMiguel23/MemoryMesh](https://github.com/CheMiguel23/MemoryMesh) (335 TypeScript) - MemoryMesh is a knowledge graph server using the Model Context Protocol to provide structured memory persistence for AI models, especially suited for text-based RPGs and interactive storytelling. - [cyanheads/atlas-mcp-server](https://github.com/cyanheads/atlas-mcp-server) (467 TypeScript) - ATLAS MCP Server is a Neo4j-based Model Context Protocol server designed to manage projects, tasks, and knowledge in LLM agent workflows using a three-tier architecture. - [cyanheads/obsidian-mcp-server](https://github.com/cyanheads/obsidian-mcp-server) (348 TypeScript) - Obsidian MCP Server is a secure and efficient MCP server that enables large language models and AI agents to interact programmatically with Obsidian vaults for advanced knowledge base management and automation. - [devflowinc/trieve](https://github.com/devflowinc/trieve) (2610 Rust) - Trieve is an all-in-one infrastructure platform offering advanced search, recommendations, retrieval-augmented generation, and analytics via API with strong support for Model Context Protocol (MCP) integration. - [dmayboroda/minima](https://github.com/dmayboroda/minima) (1039 Python) - Minima is an open-source on-premises RAG system that enables secure, private querying of local documents through conversational AI with integration support for ChatGPT and the Model Context Protocol (MCP). - [doobidoo/mcp-memory-service](https://github.com/doobidoo/mcp-memory-service) (1473 Python) - MCP Memory Service is an MCP server that provides semantic memory and persistent storage for Claude Desktop, enabling long-term context-aware interactions through advanced semantic search and memory management. - [ggozad/haiku.rag](https://github.com/ggozad/haiku.rag) (480 Python) - Haiku SQLite RAG is a self-contained Retrieval-Augmented Generation library using SQLite that supports hybrid semantic and full-text search, multiple embedding and QA providers, and integrates with AI assistants via an MCP server. - [graphlit/graphlit-mcp-server](https://github.com/graphlit/graphlit-mcp-server) (372 TypeScript) - The graphlit-mcp-server is an MCP Server for the Graphlit Platform that centralizes diverse data sources into a searchable, RAG-ready knowledge base for MCP clients, supporting extensive data ingestion, retrieval, and integration capabilities. - [GreatScottyMac/context-portal](https://github.com/GreatScottyMac/context-portal) (753 Python) - Context Portal MCP (ConPort) is a database-backed MCP server that builds a structured project-specific knowledge graph to enable AI assistants to provide context-aware, accurate responses through Retrieval Augmented Generation in development environments. - [kagisearch/kagimcp](https://github.com/kagisearch/kagimcp) (316 Python) - Kagi MCP server is an MCP server that integrates Kagi's search and summarization tools into MCP-compatible applications to enhance information retrieval and summarization capabilities. - [MarkusPfundstein/mcp-obsidian](https://github.com/MarkusPfundstein/mcp-obsidian) (2972 Python) - MCP server enabling interaction with Obsidian via the Obsidian Local REST API community plugin, providing tools for file management, content retrieval, search, and content modification within Obsidian vaults. - [mem0ai/mem0-mcp](https://github.com/mem0ai/mem0-mcp) (618 Python) - mem0-mcp is an MCP server integrated with mem0 that manages coding preferences by providing tools to store, retrieve, and semantically search coding patterns and solutions through an SSE endpoint accessible by clients like Cursor. - [MicrosoftDocs/mcp](https://github.com/MicrosoftDocs/mcp) (1427 ) - The Microsoft Learn Docs MCP Server is a cloud-hosted service implementing the Model Context Protocol to provide AI assistants with real-time access to official Microsoft documentation through semantic search and standardized endpoints. - [nhevers/MoltBrain](https://github.com/nhevers/MoltBrain) (363 TypeScript) - MoltBrain is a long-term memory layer for OpenClaw, MoltBook, and Claude Code agents that automatically learns and recalls project context using Model Context Protocol tools to enhance session continuity and productivity. - [Olow304/memvid](https://github.com/Olow304/memvid) (13326 Python) - Memvid is a video-based AI memory library that stores millions of text chunks in MP4 files with ultra-fast semantic search, eliminating the need for traditional databases and enabling portable, efficient AI memory management. - [onebirdrocks/ebook-mcp](https://github.com/onebirdrocks/ebook-mcp) (352 Python) - Ebook-MCP is an MCP server that enhances eBook interaction by enabling natural language conversations and AI-powered processing of EPUB and PDF formats. - [RafalWilinski/mcp-apple-notes](https://github.com/RafalWilinski/mcp-apple-notes) (365 TypeScript) - MCP Apple Notes is an MCP server that enables semantic search and retrieval augmented generation over Apple Notes, allowing AI assistants like Claude to access and reference personal notes during conversations. - [shaneholloman/mcp-knowledge-graph](https://github.com/shaneholloman/mcp-knowledge-graph) (810 JavaScript) - mcp-knowledge-graph is an MCP server that provides persistent memory for AI models through a local knowledge graph, enabling user information retention across interactions and compatibility with any MCP-supporting AI platform. - [snexus/llm-search](https://github.com/snexus/llm-search) (647 Jupyter Notebook) - snexus/llm-search is an advanced Retrieval-Augmented Generation system that enables efficient querying and interaction with local document collections using customizable Large Language Models and supports integration via an MCP server. - [spences10/mcp-sequentialthinking-tools](https://github.com/spences10/mcp-sequentialthinking-tools) (570 TypeScript) - An MCP server that enhances problem-solving by guiding sequential thinking and providing confidence-scored recommendations for MCP tool usage at each step. - [StevenStavrakis/obsidian-mcp](https://github.com/StevenStavrakis/obsidian-mcp) (562 TypeScript) - obsidian-mcp is an MCP server that enables AI assistants to interact with Obsidian vaults, providing tools for managing notes and tags through reading, creating, editing, and organizing content. - [supermemoryai/supermemory-mcp](https://github.com/supermemoryai/supermemory-mcp) (1628 TypeScript) - Supermemory MCP is a universal memory system that enables seamless access to personal memories across all large language models without requiring logins or paywalls. - [topoteretes/cognee](https://github.com/topoteretes/cognee) (13061 Jupyter Notebook) - Cognee is an open-source project that provides scalable and modular memory capabilities for AI agents using ECL pipelines, enabling efficient management and retrieval of past interactions and diverse data types. - [vectorize-io/hindsight](https://github.com/vectorize-io/hindsight) (2428 Python) - Hindsight is an agent memory system designed to create smarter, learning AI agents by moving beyond simple conversation history recall to encompass a biomimetic storage architecture for long-term m... ### Agent Platforms - [1mcp-app/agent](https://github.com/1mcp-app/agent) (391 TypeScript) - 1MCP is a unified Model Context Protocol server that aggregates multiple MCP servers into a single, resource-efficient, and secure interface for managing AI assistants. - [53AI/53AIHub](https://github.com/53AI/53AIHub) (8866 JavaScript) - 53AI Hub is an open-source AI portal that enables rapid building, deployment, and management of AI agents, prompts, and tools with seamless integration to multiple development and cloud platforms, supporting both cloud and local environments. - [a2aproject/A2A](https://github.com/a2aproject/A2A) (22172 TypeScript) - Agent2Agent (A2A) is an open protocol that enables secure communication and interoperability between opaque AI agents, facilitating multi-agent collaboration across diverse platforms and ecosystems. - [agentgateway/agentgateway](https://github.com/agentgateway/agentgateway) (1882 Rust) - Agentgateway is a high-performance, secure, and multi-tenant agent gateway designed for enterprise-grade deployments with robust MCP-focused features and dynamic configuration support. - [aipotheosis-labs/aci](https://github.com/aipotheosis-labs/aci) (4729 Python) - ACI.dev is an open-source platform that enables AI agents to securely access and interact with over 600 integrated tools via a unified Model-Context-Protocol (MCP) server or direct function calls, simplifying authentication and infrastructure for production-ready AI applications. - [anthropics/claude-plugins-official](https://github.com/anthropics/claude-plugins-official) (9502 Shell) - An official Anthropic-managed directory of high-quality plugins for Claude Code, supporting MCP server configurations and plugin integration to extend Claude Code's functionality. - [arc53/DocsGPT](https://github.com/arc53/DocsGPT) (17747 Python) - DocsGPT is a private AI platform for building intelligent agents, assistants, and enterprise search with multi-model support, deep research, document analysis, and extensive API connectivity, designed for secure and scalable deployment including MCP integration. - [ArcadeAI/arcade-ai](https://github.com/ArcadeAI/arcade-ai) (822 Python) - Arcade AI Platform is a modular developer platform for building, deploying, and managing AI agent tools, featuring serving infrastructure for Model Context Protocol (MCP) servers. - [cjo4m06/mcp-shrimp-task-manager](https://github.com/cjo4m06/mcp-shrimp-task-manager) (2039 TypeScript) - Shrimp Task Manager is an MCP-based intelligent task management system that converts natural language into structured development tasks with dependency tracking and iterative refinement, enhancing AI Agents' programming workflows through chain-of-thought reasoning and task memory. - [cloudwalk/hermes-mcp](https://github.com/cloudwalk/hermes-mcp) (346 Elixir) - Hermes MCP is a high-performance Elixir SDK offering comprehensive client and server implementations of the Model Context Protocol (MCP) to enable standardized communication between AI applications and external tools. - [ComposioHQ/awesome-claude-skills](https://github.com/ComposioHQ/awesome-claude-skills) (42020 Python) - A curated list of resources and tools for customizing Claude AI workflows and building specialized AI agents. - [danny-avila/LibreChat](https://github.com/danny-avila/LibreChat) (34446 TypeScript) - LibreChat is an open-source enhanced ChatGPT clone that integrates multiple AI models and supports the Model Context Protocol (MCP) for advanced AI assistant features including no-code agents, secure code execution, multimodal interactions, and customizable conversation management. - [EvolutionAPI/evo-ai](https://github.com/EvolutionAPI/evo-ai) (556 TypeScript) - Evo AI is an open-source platform for creating, managing, and integrating diverse AI agents with support for Model Context Protocol and Google's Agent 2 Agent interoperability protocol. - [GaiaNet-AI/gaianet-node](https://github.com/GaiaNet-AI/gaianet-node) (5007 Shell) - GaiaNet Node is a decentralized AI agent platform that enables users to install, configure, and run their own AI nodes using open-source models and vector databases in a distributed network. - [google-a2a/A2A](https://github.com/google-a2a/A2A) (22359 TypeScript) - Agent2Agent (A2A) is an open protocol that enables secure communication and collaboration between opaque AI agentic applications, facilitating interoperability and complex multi-agent tasks without exposing internal states. - [humanlayer/agentcontrolplane](https://github.com/humanlayer/agentcontrolplane) (348 Go) - Agent Control Plane (ACP) is a cloud-native distributed agent scheduler on Kubernetes designed for orchestrating outer-loop AI agents with asynchronous tool calls and full Model Context Protocol (MCP) support. - [inclusionAI/AWorld](https://github.com/inclusionAI/AWorld) (1140 Python) - AWorld is an open-source framework that utilizes MCP servers to build and run collaborative multi-agent assistance systems, advancing agentic AI through self-improving multi-agent learning. - [intellectronica/skillz](https://github.com/intellectronica/skillz) (373 Python) - Skillz is an MCP server that enables the loading, discovery, and execution of Claude-style skills for various AI agents, providing a flexible and standardized way to extend agent capabilities. - [joinly-ai/joinly](https://github.com/joinly-ai/joinly) (466 Python) - Joinly.ai is an open-source middleware platform that enables AI agents to join and actively participate in video meetings using a Model Context Protocol server, supporting real-time interaction and multiple meeting platforms. - [kagent-dev/kagent](https://github.com/kagent-dev/kagent) (2311 Python) - kagent is a Kubernetes native framework for building, deploying, and managing AI agents with integration as an MCP server, supporting multiple LLM providers and tools as Kubernetes custom resources. - [Klavis-AI/klavis](https://github.com/Klavis-AI/klavis) (5654 TypeScript) - Klavis AI is an open-source platform offering production-ready Model Context Protocol (MCP) servers and clients for seamless integration and scaling of AI applications across multiple platforms with built-in authentication and extensive tool support. - [microsandbox/microsandbox](https://github.com/microsandbox/microsandbox) (4942 Rust) - Microsandbox is a self-hosted, secure sandbox environment that uses hardware-level microVM isolation and built-in MCP support to safely and rapidly run AI-generated or untrusted code with full user control. - [Mintplex-Labs/anything-llm](https://github.com/Mintplex-Labs/anything-llm) (55923 JavaScript) - AnythingLLM is an all-in-one AI application with full MCP compatibility that enables intelligent chat interactions with documents using various LLMs, multi-user support, and no-code AI agent building capabilities. - [mobile-next/mobile-mcp](https://github.com/mobile-next/mobile-mcp) (3753 TypeScript) - Mobile Next is a Model Context Protocol server enabling scalable, platform-agnostic mobile automation and development across iOS, Android, emulators, simulators, and physical devices using structured accessibility data and screenshot-based interactions. - [modelscope/agentscope](https://github.com/modelscope/agentscope) (17823 Python) - AgentScope is a multi-agent platform that simplifies building LLM-empowered distributed applications with robust fault-tolerance and integration with Model Context Protocol (MCP) Server. - [octelium/octelium](https://github.com/octelium/octelium) (3469 Go) - Octelium is a free and open-source self-hosted unified zero trust secure access platform supporting remote access VPN, ZTNA, API/AI gateways, PaaS, Kubernetes ingress, and MCP/A2A architectures. - [open-webui/open-webui](https://github.com/open-webui/open-webui) (126265 JavaScript) - Open WebUI is a self-hosted, extensible AI platform supporting multiple LLM runners and OpenAI-compatible APIs with advanced features like Retrieval Augmented Generation, model building, and offline deployment. - [PV-Bhat/vibe-check-mcp-server](https://github.com/PV-Bhat/vibe-check-mcp-server) (478 TypeScript) - Vibe Check MCP is a research-backed MCP server that acts as an AI meta-mentor to prevent over-engineering and reasoning lock-in in AI agent workflows by implementing strategic pattern interrupts and metacognitive oversight. - [RightNow-AI/openfang](https://github.com/RightNow-AI/openfang) (12817 Rust) - Openfang is an open-source Agent Operating System built in Rust for managing and coordinating AI agents, potentially leveraging LLMs and adhering to the Model Context Protocol. - [SmythOS/sre](https://github.com/SmythOS/sre) (1236 TypeScript) - SmythOS is a comprehensive operating system designed to build, deploy, and manage intelligent AI agents at scale with a unified SDK and modular architecture. - [vstorm-co/pydantic-deepagents](https://github.com/vstorm-co/pydantic-deepagents) (428 Python) - Pydantic Deep Agents is a Python framework for building production-grade autonomous AI agents with advanced capabilities like planning, filesystem operations, subagent delegation, and comprehensive... - [xark-argo/argo](https://github.com/xark-argo/argo) (480 Shell) - ARGO is an open-source local AI agent platform that integrates generative AI models and MCP tools to provide autonomous task planning, execution, and private offline operation for complex workflows. ### Media & Creativity - [abhiemj/manim-mcp-server](https://github.com/abhiemj/manim-mcp-server) (566 Python) - Manim MCP Server is an MCP server that executes Manim animation scripts and returns generated videos, enabling dynamic animation creation through the Model Context Protocol. - [ahujasid/ableton-mcp](https://github.com/ahujasid/ableton-mcp) (2293 Python) - AbletonMCP integrates Ableton Live with Claude AI using the Model Context Protocol to enable AI-assisted music production and session control through two-way communication. - [anaisbetts/mcp-youtube](https://github.com/anaisbetts/mcp-youtube) (500 JavaScript) - anaisbetts/mcp-youtube is an MCP server that downloads YouTube subtitles using yt-dlp and connects to claude.ai for video summarization via the Model Context Protocol. - [elevenlabs/elevenlabs-mcp](https://github.com/elevenlabs/elevenlabs-mcp) (1248 Python) - The official ElevenLabs MCP server enabling MCP clients to access advanced text-to-speech and audio processing capabilities through ElevenLabs' APIs. - [evalstate/mcp-hfspace](https://github.com/evalstate/mcp-hfspace) (382 TypeScript) - mcp-hfspace is an MCP server that enables easy integration of Hugging Face Spaces with Claude Desktop, supporting various AI tasks like image generation, vision, speech, and chat through minimal configuration. - [gyoridavid/short-video-maker](https://github.com/gyoridavid/short-video-maker) (1006 TypeScript) - Short Video Maker is an open-source tool that automates the creation of short-form videos for social media using the Model Context Protocol and a REST API. - [kimtaeyoon83/mcp-server-youtube-transcript](https://github.com/kimtaeyoon83/mcp-server-youtube-transcript) (488 JavaScript) - An MCP server that enables direct retrieval of transcripts from YouTube videos with multi-language support and robust error handling. - [MiniMax-AI/MiniMax-MCP](https://github.com/MiniMax-AI/MiniMax-MCP) (1298 Python) - MiniMax-MCP is the official MiniMax Model Context Protocol server enabling MCP clients to interact with advanced AI APIs for text-to-speech, voice cloning, image, and video generation. - [samuelgursky/davinci-resolve-mcp](https://github.com/samuelgursky/davinci-resolve-mcp) (577 Python) - DaVinci Resolve MCP Server is an MCP server that enables AI coding assistants like Cursor and Claude Desktop to control and query DaVinci Resolve through natural language commands. - [Simon-Kansara/ableton-live-mcp-server](https://github.com/Simon-Kansara/ableton-live-mcp-server) (335 Python) - Ableton Live MCP Server is an MCP protocol-based server that enables communication and control of Ableton Live via OSC for integration with large language models and MCP clients. - [varunneal/spotify-mcp](https://github.com/varunneal/spotify-mcp) (586 Python) - spotify-mcp is an MCP server that connects large language models like Claude with Spotify, enabling playback control, music search, and playlist management through the Model Context Protocol. - [zcaceres/markdownify-mcp](https://github.com/zcaceres/markdownify-mcp) (2438 TypeScript) - Markdownify MCP Server is an MCP server that converts various file types and web content into Markdown format, enabling easy content sharing and management within the MCP ecosystem. ### Finance & Trading - [alpacahq/alpaca-mcp-server](https://github.com/alpacahq/alpaca-mcp-server) (541 Python) - Alpaca MCP Server is an MCP server implementation that enables large language models to interact with Alpaca's trading API using natural language for stock, options, and crypto trading, portfolio management, and real-time market data access. - [base/base-mcp](https://github.com/base/base-mcp) (342 TypeScript) - Base MCP Server is a Model Context Protocol server that provides onchain tools for AI applications to interact with the Base network and Coinbase API, enabling advanced blockchain operations and financial transactions. - [ferdousbhai/investor-agent](https://github.com/ferdousbhai/investor-agent) (312 Python) - Investor-agent is a Model Context Protocol server delivering comprehensive financial analysis and market data to large language models for advanced investment insights and trading capabilities. - [financial-datasets/mcp-server](https://github.com/financial-datasets/mcp-server) (669 Python) - An MCP server that enables AI assistants to access comprehensive stock market and cryptocurrency data from Financial Datasets via the Model Context Protocol interface. - [goat-sdk/goat](https://github.com/goat-sdk/goat) (964 TypeScript) - GOAT is a comprehensive agentic finance toolkit enabling AI agents to autonomously perform financial activities using blockchain, cryptocurrencies, wallets, and supports the Model Context Protocol (MCP) along with other agent frameworks. - [longportapp/openapi](https://github.com/longportapp/openapi) (375 Rust) - LongPort OpenAPI SDK provides programmatic trading and quote interfaces with real-time data and includes an MCP server implementation for advanced investment strategy development. - [stripe/agent-toolkit](https://github.com/stripe/agent-toolkit) (1344 TypeScript) - The Stripe Agent Toolkit is a library that integrates Stripe's API into various agent frameworks and the Model Context Protocol (MCP) to enable seamless payment and billing automation in intelligent agent workflows. - [whchien/ai-trader](https://github.com/whchien/ai-trader) (499 Python) - AI-Trader is a professional backtesting framework for algorithmic trading with multi-market support and integrated Model Context Protocol (MCP) server enabling AI assistant interaction. ### Other MCP Servers - [appcypher/awesome-mcp-servers](https://github.com/appcypher/awesome-mcp-servers) (5220 ) - A curated list of Model Context Protocol (MCP) servers that enable AI models to securely interact with local and remote resources through standardized server implementations, enhancing AI capabilities across various domains. - [automation-ai-labs/mcp-link](https://github.com/automation-ai-labs/mcp-link) (603 Go) - MCP Link automates the conversion of any OpenAPI V3 API into a fully compatible MCP Server, enabling seamless integration with AI Agent frameworks without modifying the original APIs. - [baidu-maps/mcp](https://github.com/baidu-maps/mcp) (408 Python) - Baidu Map MCP Server is an open-source, fully MCP-compliant location-based service platform providing comprehensive geospatial APIs and tools for seamless integration with AI agents and large language models. - [ChiR24/Unreal_mcp](https://github.com/ChiR24/Unreal_mcp) (348 C++) - This project offers a comprehensive Model Context Protocol (MCP) server for Unreal Engine, enabling AI assistants to control the engine via a native C++ Automation Bridge plugin for high-performanc... - [Fast-Editor/Lynkr](https://github.com/Fast-Editor/Lynkr) (371 JavaScript) - Lynkr is a self-hosted HTTP proxy that enables AI coding tools like Claude Code CLI, Cursor, and Codex to work with various LLM providers, including local models, reducing costs and enhancing privacy. - [ihor-sokoliuk/mcp-searxng](https://github.com/ihor-sokoliuk/mcp-searxng) (506 JavaScript) - mcp-searxng is an MCP server implementation that integrates the SearXNG API to provide advanced web search capabilities within the Model Context Protocol ecosystem. - [jaw9c/awesome-remote-mcp-servers](https://github.com/jaw9c/awesome-remote-mcp-servers) (1012 ) - A curated list of high-quality remote Model Context Protocol (MCP) servers for developers to discover reliable and production-ready services for AI applications. - [joseph-wortmann/hyper-mcp](https://github.com/joseph-wortmann/hyper-mcp) (871 Rust) - hyper-mcp is a fast, secure Model Context Protocol (MCP) server that extends its capabilities through WebAssembly plugins, enabling AI integration in various applications with strong security and cross-platform support. - [K-Dense-AI/claude-skills-mcp](https://github.com/K-Dense-AI/claude-skills-mcp) (341 Python) - An MCP server enabling intelligent semantic search and retrieval of Claude Agent Skills, integrating them with any MCP-compatible AI model or coding assistant through vector embeddings and progress... - [loopwork/iMCP](https://github.com/loopwork/iMCP) (1187 Swift) - iMCP is a macOS app that acts as an MCP server, enabling AI clients to securely access and manage personal data services like Messages, Contacts, Calendar, and more through the Model Context Protocol. - [m1rl0k/Context-Engine](https://github.com/m1rl0k/Context-Engine) (358 Python) - Context-Engine is an open-core MCP retrieval stack designed for AI coding assistants, offering hybrid code search, micro-chunking, and local LLM prompt enhancement. - [MigoXLab/dingo](https://github.com/MigoXLab/dingo) (651 JavaScript) - Dingo is a comprehensive AI data quality evaluation tool featuring multiple datasets and evaluation methods, including an experimental Model Context Protocol (MCP) server for advanced integration. - [modelcontextprotocol/servers](https://github.com/modelcontextprotocol/servers) (80534 JavaScript) - The Model Context Protocol Servers repository offers reference implementations and third-party integrations that demonstrate how MCP enables Large Language Models to securely access and interact with diverse tools and data sources. - [nickclyde/duckduckgo-mcp-server](https://github.com/nickclyde/duckduckgo-mcp-server) (564 Python) - DuckDuckGo MCP Server is an MCP server that provides optimized web search and content fetching through DuckDuckGo for large language model consumption and integration with Claude Desktop. - [nspady/google-calendar-mcp](https://github.com/nspady/google-calendar-mcp) (1035 TypeScript) - Google Calendar MCP Server is an MCP server that enables AI assistants to manage Google Calendar events through a standardized interface with advanced features like smart scheduling, multi-calendar support, and event import from images. - [openbnb-org/mcp-server-airbnb](https://github.com/openbnb-org/mcp-server-airbnb) (392 JavaScript) - Airbnb MCP Server is an MCP server that enables programmatic search and retrieval of detailed Airbnb listing data without requiring an API key. - [ppl-ai/modelcontextprotocol](https://github.com/ppl-ai/modelcontextprotocol) (1999 JavaScript) - A Model Context Protocol server connector integrating the Perplexity Sonar API to enable real-time web search and live research capabilities for AI assistants like Claude within the MCP ecosystem. - [pskill9/web-search](https://github.com/pskill9/web-search) (423 JavaScript) - An MCP server that enables free Google web searches by scraping search results and returning structured data without requiring API keys. - [punkpeye/awesome-mcp-servers](https://github.com/punkpeye/awesome-mcp-servers) (82536 ) - A curated collection of Model Context Protocol (MCP) servers that enable AI models to securely interact with local and remote resources through standardized server implementations. - [Roblox/studio-rust-mcp-server](https://github.com/Roblox/studio-rust-mcp-server) (400 Rust) - This project provides a Rust-based reference implementation of the Model Context Protocol (MCP) server for integrating Roblox Studio with AI clients like Claude Desktop and Cursor. - [SecretiveShell/MCP-Bridge](https://github.com/SecretiveShell/MCP-Bridge) (918 Python) - MCP-Bridge is middleware that enables seamless integration of MCP tools with the OpenAI API, allowing transparent use of MCP tools through an OpenAI-compatible interface. - [Shashankss1205/CodeGraphContext](https://github.com/Shashankss1205/CodeGraphContext) (1256 Python) - CodeGraphContext is an MCP server and CLI tool that indexes local code into a graph database, enabling AI assistants and developers to access deep code context across multiple programming languages. - [Softeria/ms-365-mcp-server](https://github.com/Softeria/ms-365-mcp-server) (514 TypeScript) - ms-365-mcp-server is a Model Context Protocol server enabling secure and comprehensive interaction with Microsoft 365 and Office services via the Microsoft Graph API, supporting both personal and organizational accounts. - [tavily-ai/tavily-mcp](https://github.com/tavily-ai/tavily-mcp) (856 JavaScript) - Tavily MCP server is an implementation of the Model Context Protocol that enables AI assistants to access and interact with real-time web data through advanced search, extraction, mapping, and crawling tools. - [TensorBlock/awesome-mcp-servers](https://github.com/TensorBlock/awesome-mcp-servers) (561 ) - A comprehensive curated collection of Model Context Protocol (MCP) servers categorized by functionality, enabling standardized and secure integration of language models with external tools and data sources. - [tufantunc/ssh-mcp](https://github.com/tufantunc/ssh-mcp) (324 JavaScript) - This project is an MCP server that enables Large Language Models (LLMs) and other MCP clients to execute shell commands securely over SSH on remote Linux and Windows servers. - [wegotdocs/open-mcp](https://github.com/wegotdocs/open-mcp) (333 TypeScript) - OpenMCP is an open-source standard and registry for converting web APIs into Model Context Protocol (MCP) servers, enabling efficient integration of APIs with MCP clients like large language models. - [wong2/awesome-mcp-servers](https://github.com/wong2/awesome-mcp-servers) (2882 ) - A curated list of Model Context Protocol (MCP) servers showcasing reference implementations and official production-ready integrations for diverse AI-powered applications. - [YuzeHao2023/Awesome-MCP-Servers](https://github.com/YuzeHao2023/Awesome-MCP-Servers) (1029 ) - A curated, community-driven list of Model Context Protocol (MCP) servers, tools, frameworks, clients, and utilities enabling secure AI model interactions with local and remote resources through standardized server implementations. - [zcaceres/fetch-mcp](https://github.com/zcaceres/fetch-mcp) (707 TypeScript) - Fetch MCP Server is an MCP server that fetches and transforms web content into HTML, JSON, plain text, and Markdown formats on demand. ## MCP Clients ### CLI Tools - [adhikasp/mcp-client-cli](https://github.com/adhikasp/mcp-client-cli) (669 Python) - mcp-client-cli is a command-line interface tool that enables users to run LLM prompts and interact with Model Context Protocol (MCP) compatible servers from the terminal. - [av/harbor](https://github.com/av/harbor) (2487 Python) - Harbor is a containerized toolkit that enables effortless deployment and management of local large language model backends, frontends, and services with integrated support for the Model Context Protocol ecosystem. - [chrishayuk/mcp-cli](https://github.com/chrishayuk/mcp-cli) (1734 Python) - MCP CLI is a versatile and feature-rich command-line interface for interacting with Model Context Protocol servers, supporting multiple LLM providers, operational modes, and advanced conversation and tool management. - [dannote/figma-use](https://github.com/dannote/figma-use) (376 TypeScript) - figma-use is a CLI tool that enables full read/write control of Figma from the terminal using commands and JSX, facilitating AI-driven UI design and automation beyond the official MCP plugin. - [davepoon/buildwithclaude](https://github.com/davepoon/buildwithclaude) (2553 TypeScript) - A comprehensive collection of specialized AI subagents, slash commands, and MCP server integrations designed to enhance the Claude Code AI development environment with powerful automation and domain-specific expertise. - [Davidyz/VectorCode](https://github.com/Davidyz/VectorCode) (816 Python) - VectorCode is a code repository indexing tool that integrates with the Model Context Protocol to inject task-relevant context from codebases, enhancing coding LLMs' search and retrieval capabilities. - [f/mcptools](https://github.com/f/mcptools) (1511 Go) - MCP Tools is a comprehensive command-line interface for discovering, calling, and managing tools, resources, and prompts on Model Context Protocol (MCP) servers with support for multiple transport methods and output formats. - [ggozad/oterm](https://github.com/ggozad/oterm) (2219 Python) - Oterm is a versatile terminal client for Ollama that supports Model Context Protocol tools and prompts, enabling customizable and persistent AI chat sessions across multiple platforms. - [gotalab/skillport](https://github.com/gotalab/skillport) (336 Python) - SkillPort is a SkillOps toolkit that enables managing, validating, and delivering AI agent skills via CLI or Model Context Protocol (MCP) for seamless integration with various AI agents. - [hyperb1iss/droidmind](https://github.com/hyperb1iss/droidmind) (357 Python) - DroidMind is a powerful tool that uses the Model Context Protocol to enable AI assistants to securely control, analyze, and manage Android devices through natural language commands. - [jonigl/mcp-client-for-ollama](https://github.com/jonigl/mcp-client-for-ollama) (514 Python) - MCP Client for Ollama is a powerful text-based user interface client that enables developers to interact with multiple MCP servers using local Ollama LLMs, featuring advanced tool management, streaming responses, and dynamic model configuration. - [langwatch/better-agents](https://github.com/langwatch/better-agents) (1502 TypeScript) - Better Agents is a CLI tool and set of standards that enhance AI agent development by integrating Model Context Protocol (MCP) standards, ensuring best practices, testing, evaluation, and collaboration readiness. - [mattzcarey/shippie](https://github.com/mattzcarey/shippie) (2339 TypeScript) - Shippie is an AI-powered code review agent that integrates Large Language Models into CI/CD pipelines and functions as a Model Context Protocol client for enhanced integration with external tools. - [michaellatman/mcp-get](https://github.com/michaellatman/mcp-get) (507 TypeScript) - mcp-get is a command-line tool that simplifies discovering, installing, and managing Model Context Protocol (MCP) servers to connect Large Language Models with external data sources and tools. - [neiii/bridle](https://github.com/neiii/bridle) (391 Rust) - Bridle is a unified configuration manager for AI coding assistants that manages profiles, installs skills, agents, commands, and MCPs across multiple harnesses like Claude Code, OpenCode, Goose, and Amp. - [pathintegral-institute/mcpm.sh](https://github.com/pathintegral-institute/mcpm.sh) (904 Python) - MCPM is an open-source CLI tool and service for managing Model Context Protocol (MCP) servers, enabling easy configuration, profile grouping, server discovery, and advanced routing with shared sessions across multiple clients. - [sigoden/llm-functions](https://github.com/sigoden/llm-functions) (715 Shell) - LLM Functions is a platform that enables easy creation and integration of custom LLM tools and agents using function calling with Bash, JavaScript, and Python, supporting Model Context Protocol for enhanced interoperability. - [strands-agents/agent-builder](https://github.com/strands-agents/agent-builder) (390 Python) - Strands Agent Builder is an interactive, model-driven toolkit for building, testing, and extending custom AI agents with integrated knowledge base support and advanced model configurations. - [txn2/kubefwd](https://github.com/txn2/kubefwd) (4064 Go) - kubefwd is a command-line tool that bulk port forwards Kubernetes services to a local machine, enabling seamless local development by accessing cluster services with their original names and connection strings. - [wong2/mcp-cli](https://github.com/wong2/mcp-cli) (388 JavaScript) - mcp-cli is a command-line interface tool for securely inspecting, interacting with, and managing Model Context Protocol (MCP) servers and their resources. - [yamadashy/repomix](https://github.com/yamadashy/repomix) (22299 TypeScript) - Repomix is a tool that packs entire code repositories into single, AI-friendly files optimized for feeding Large Language Models and other AI tools, with features for token counting, security, and customization. ### Desktop & Mobile Clients - [AI-QL/tuui](https://github.com/AI-QL/tuui) (1134 TypeScript) - TUUI is a desktop client application that accelerates AI adoption by integrating and orchestrating cross-vendor LLM APIs through the Model Context Protocol (MCP). - [BigSweetPotatoStudio/HyperChat](https://github.com/BigSweetPotatoStudio/HyperChat) (713 TypeScript) - HyperChat is an open-source, multi-platform AI chat client that fully supports the Model Context Protocol (MCP) and integrates various large language model APIs to provide a versatile and productivity-enhanced chat experience. - [ChatGPTNextWeb/NextChat](https://github.com/ChatGPTNextWeb/NextChat) (86178 TypeScript) - NextChat is a lightweight, privacy-focused AI assistant platform supporting multiple AI models and operating systems, with Model Context Protocol (MCP) support for enhanced AI interactions. - [CherryHQ/cherry-studio](https://github.com/CherryHQ/cherry-studio) (41046 TypeScript) - Cherry Studio is a cross-platform desktop client supporting multiple LLM providers and featuring an MCP server, AI assistants, document processing, and practical AI tools for enhanced user experience. - [daodao97/chatmcp](https://github.com/daodao97/chatmcp) (2180 Dart) - ChatMCP is a cross-platform AI chat client that implements the Model Context Protocol (MCP) and supports multiple large language models for enhanced AI interactions across various platforms. - [electerm/electerm](https://github.com/electerm/electerm) (13530 JavaScript) - Electerm is a versatile open-source multi-platform client for terminal, SSH, SFTP, FTP, Telnet, serial port, RDP, and VNC connections with integrated AI assistant support via the Model Context Protocol (MCP) widget. - [fleuristes/fleur](https://github.com/fleuristes/fleur) (532 TypeScript) - Fleur is a desktop app marketplace for discovering, installing, and managing Model Context Protocol (MCP) apps for Claude Desktop and Cursor, designed for both non-technical users and developers. - [Lucassssss/eechat](https://github.com/Lucassssss/eechat) (334 JavaScript) - eechat is a secure and efficient local AI chat application featuring Model Context Protocol (MCP) support for seamless integration, management, and invocation of AI tools, enhancing AI assistant capabilities with extensibility and personalization. - [mcp-router/mcp-router](https://github.com/mcp-router/mcp-router) (1826 TypeScript) - MCP Router is a secure, cross-platform desktop application for centralized management and monitoring of multiple Model Context Protocol (MCP) servers with advanced AI agent integration and detailed logging. - [mediar-ai/screenpipe](https://github.com/mediar-ai/screenpipe) (17164 TypeScript) - Screenpipe is an open-source AI app store that records 24/7 desktop and microphone activity locally to provide rich context for building and monetizing AI-powered desktop applications. - [nanbingxyz/5ire](https://github.com/nanbingxyz/5ire) (5061 TypeScript) - 5ire is a cross-platform desktop AI assistant and MCP client that integrates with major AI providers and supports local knowledge bases and tools via MCP servers for enhanced AI functionality. - [nbonamy/witsy](https://github.com/nbonamy/witsy) (1897 TypeScript) - Witsy is a versatile desktop AI assistant and universal MCP client that integrates multiple LLM providers to deliver advanced AI functionalities including chat, vision, text-to-image, and voice interaction using the Model Context Protocol. - [NitroRCr/AIaW](https://github.com/NitroRCr/AIaW) (1764 Vue) - AI as Workspace (AIaW) is a full-featured, cross-platform AI client supporting multiple AI providers and the Model Context Protocol (MCP) to enhance user productivity and experience with large language models. - [pluveto/daan](https://github.com/pluveto/daan) (335 TypeScript) - Daan is a lightweight and customizable LLM client that integrates the Model Context Protocol (MCP) to enhance AI interactions with external tools and knowledge, featuring miniapps, character customization, and flexible model support. - [punkpeye/awesome-mcp-clients](https://github.com/punkpeye/awesome-mcp-clients) (6335 ) - A curated collection of production-ready and experimental Model Context Protocol (MCP) clients enabling secure AI model interactions with local and remote resources through standardized implementations. - [rikkahub/rikkahub](https://github.com/rikkahub/rikkahub) (3429 Kotlin) - RikkaHub is a native Android chat client app supporting multiple large language model providers with Model Context Protocol support, multimodal input, and advanced customization features. - [runebookai/tome](https://github.com/runebookai/tome) (596 Svelte) - Tome is a user-friendly desktop application that enables easy connection, management, and interaction with local and remote large language models through Model Context Protocol servers, simplifying AI integration and customization for all users. ### IDE Extensions & Code Assistants - [21st-dev/magic-mcp](https://github.com/21st-dev/magic-mcp) (4385 TypeScript) - 21st-dev/magic-mcp is an AI-driven Magic Component Platform server that enables developers to create modern UI components instantly through natural language commands within popular IDEs using the Model Context Protocol. - [bgauryy/octocode-mcp](https://github.com/bgauryy/octocode-mcp) (699 TypeScript) - Octocode MCP is an AI assistant enhancement tool that uses the Model Context Protocol to provide real-time, semantic code context and research capabilities from public and private GitHub repositories. - [cline/cline](https://github.com/cline/cline) (51488 TypeScript) - Cline is an autonomous AI coding assistant integrated into IDEs that uses the Model Context Protocol to safely create and edit files, execute terminal commands, and interact with web applications with user approval at every step. - [CoderGamester/mcp-unity](https://github.com/CoderGamester/mcp-unity) (1396 C#) - MCP Unity is an implementation of the Model Context Protocol that integrates the Unity Editor with AI model clients, enabling AI-driven interactions and automation within Unity projects. - [docfork/docfork-mcp](https://github.com/docfork/docfork-mcp) (371 JavaScript) - Docfork MCP provides up-to-date documentation for over 9000 libraries directly within AI code editors using the Model Context Protocol, ensuring accurate and current code examples for developers and AI agents. - [ezyang/codemcp](https://github.com/ezyang/codemcp) (1612 Python) - codemcp is an AI-powered coding assistant that integrates with Claude Desktop via the Model Context Protocol to enable direct codebase editing, testing, and version-controlled changes for efficient pair programming. - [mbailey/voicemode](https://github.com/mbailey/voicemode) (875 Python) - VoiceMode is a cross-platform tool that enables natural voice conversations with AI coding assistants like Claude Code through the Model Context Protocol (MCP), supporting local and cloud-based speech services for real-time interactive coding. - [nrwl/nx-console](https://github.com/nrwl/nx-console) (1395 TypeScript) - Nx Console is a user interface tool for Nx and Lerna monorepos that enhances developer productivity with visual workflows, AI-powered context via an MCP server, and deep integration with popular code editors. - [opensumi/core](https://github.com/opensumi/core) (3607 TypeScript) - OpenSumi is a framework that enables rapid development of AI Native IDE products by acting as an MCP client supporting Model Context Protocol tools through an MCP server. - [PaperDebugger/paperdebugger](https://github.com/PaperDebugger/paperdebugger) (1406 TypeScript) - PaperDebugger is an AI-powered academic writing assistant that integrates with Overleaf using a custom MCP-based orchestration engine to provide multi-step reasoning, reviewer-style critique, and structured revision for research papers. - [ravitemer/mcphub.nvim](https://github.com/ravitemer/mcphub.nvim) (1742 Lua) - MCP Hub is a Neovim plugin that integrates and manages MCP servers, providing centralized configuration, interactive testing, and deep integration with chat plugins to enhance LLM workflows. - [VikashLoomba/copilot-mcp](https://github.com/VikashLoomba/copilot-mcp) (462 TypeScript) - A VSCode extension that integrates MCP servers with GitHub Copilot Chat to provide seamless access to MCP tools and enhance AI-assisted coding workflows. ### Agent Orchestration Platforms - [affaan-m/everything-claude-code](https://github.com/affaan-m/everything-claude-code) (67785 JavaScript) - Everything Claude Code is a comprehensive and battle-tested collection of Claude Code configurations including agents, skills, hooks, commands, rules, and MCP configurations for managing AI workflows and optimizing context in AI-driven development. - [Azure-Samples/azure-ai-travel-agents](https://github.com/Azure-Samples/azure-ai-travel-agents) (418 TypeScript) - Azure AI Travel Agents is an enterprise application that leverages multiple AI agents orchestrated via the Model Context Protocol (MCP) to enhance travel agency operations with scalable, cloud-native AI services. - [block/goose](https://github.com/block/goose) (29604 Rust) - Goose is an open-source, extensible AI agent that autonomously automates complex software engineering tasks and integrates seamlessly with Model Context Protocol (MCP) servers. - [cuga-project/cuga-agent](https://github.com/cuga-project/cuga-agent) (686 Python) - CUGA is an open-source configurable generalist agent designed for enterprise use, supporting complex web and API task execution with OpenAPI and MCP integrations, composable architecture, and advanced reasoning modes. - [dcSpark/shinkai-local-ai-agents](https://github.com/dcSpark/shinkai-local-ai-agents) (423 TypeScript) - Shinkai is an open-source platform that enables quick creation of collaborative AI agents supporting Model Context Protocol, local and remote AI, and crypto payments through a no-code interface. - [evilsocket/nerve](https://github.com/evilsocket/nerve) (1320 Python) - Nerve is a powerful Agent Development Kit for building, running, evaluating, and orchestrating LLM-based agents with native support for the Model Context Protocol (MCP) using declarative YAML and CLI tools. - [google/A2A](https://github.com/google/A2A) (22359 Python) - Agent2Agent (A2A) is an open protocol by Google that enables secure communication and interoperability between diverse AI agents, fostering collaboration and innovation across different frameworks and ecosystems. - [heshengtao/super-agent-party](https://github.com/heshengtao/super-agent-party) (1823 JavaScript) - Super Agent Party is a next-generation middleware platform that upgrades LLM APIs to advanced Agent APIs with MCP support and enables one-click deployment to social platforms like QQ. - [heurist-network/heurist-agent-framework](https://github.com/heurist-network/heurist-agent-framework) (778 Python) - Heurist Agent Framework is a modular AI agent framework supporting multi-platform interaction, advanced reasoning, tool integration, and MCP protocol for building sophisticated AI agents and agents-as-a-service. - [HKUDS/AnyTool](https://github.com/HKUDS/AnyTool) (594 Python) - AnyTool is a Universal Tool-Use Layer that enhances AI agents by providing fast, scalable, and intelligent tool orchestration through smart context management and adaptive MCP tool selection. - [lobehub/lobehub](https://github.com/lobehub/lobehub) (73294 TypeScript) - LobeHub is a platform that enables multi-agent collaboration and human-agent co-evolution by treating AI agents as units of work, providing tools to build, manage, and collaborate with AI agent teams seamlessly. - [Onelevenvy/flock](https://github.com/Onelevenvy/flock) (1077 TypeScript) - Flock is a workflow-based low-code platform for rapidly building chatbots, RAG applications, and coordinating multi-agent teams with integrated support for Model Context Protocol (MCP) tools. - [openai/swarm](https://github.com/openai/swarm) (21104 Python) - Swarm is an educational framework by OpenAI for lightweight, scalable multi-agent orchestration using agents and handoffs, designed to explore and teach multi-agent coordination techniques. - [parcadei/Continuous-Claude](https://github.com/parcadei/Continuous-Claude) (3593 Python) - Continuous Claude is a framework for managing context and orchestrating agents in Claude Code, enabling token-efficient MCP execution with session continuity and preventing context pollution. - [parcadei/Continuous-Claude-v2](https://github.com/parcadei/Continuous-Claude-v2) (3593 Python) - Continuous Claude is a context management system for Claude Code that ensures session continuity and token-efficient MCP execution through hooks, ledgers, and agent orchestration with isolated context windows. - [parcadei/Continuous-Claude-v3](https://github.com/parcadei/Continuous-Claude-v3) (3593 Python) - Continuous Claude is a context management system for Claude Code that maintains persistent, learning-driven context across sessions, orchestrates multi-agent workflows, and executes MCP without context pollution. - [rinadelph/Agent-MCP](https://github.com/rinadelph/Agent-MCP) (1187 Python) - Agent-MCP is a framework enabling coordinated multi-agent AI collaboration through the Model Context Protocol, facilitating efficient and specialized parallel development workflows in AI software projects. - [truffle-ai/saiki](https://github.com/truffle-ai/saiki) (595 TypeScript) - Saiki is a customizable AI agent runtime that leverages the Model Context Protocol (MCP) to enable natural language control and orchestration of computers, applications, and services through multiple interfaces including CLI and web UI. ### Domain-Specific Integrations - [cohnen/mcp-google-ads](https://github.com/cohnen/mcp-google-ads) (382 Python) - An MCP tool that integrates Google Ads with Claude AI and Cursor, enabling natural language conversation-based analysis and management of advertising data including campaigns, keywords, and budgets. - [conorluddy/ios-simulator-skill](https://github.com/conorluddy/ios-simulator-skill) (575 Python) - An iOS Simulator Skill for Claude Code providing robust, semantic navigation-based automation scripts for iOS app testing, building, and accessibility auditing, optimized for integration with MCP-based workflows. - [infiolab/infio-copilot](https://github.com/infiolab/infio-copilot) (646 TypeScript) - Infio-Copilot is an AI assistant plugin for Obsidian that offers smart autocomplete, interactive chat with notes, and supports Model Context Protocol integration to enhance note-taking and knowledge management. - [jjsantos01/qgis_mcp](https://github.com/jjsantos01/qgis_mcp) (827 Python) - QGISMCP integrates the Model Context Protocol with QGIS Desktop to enable AI-driven control and automation of GIS projects through Claude AI. - [justinpbarnett/unity-mcp](https://github.com/justinpbarnett/unity-mcp) (6781 C#) - Unity MCP is a bridge that connects the Unity Editor with AI assistants via the Model Context Protocol, enabling natural language control and automation of Unity development tasks. - [mondaycom/mcp](https://github.com/mondaycom/mcp) (380 TypeScript) - mondaycom/mcp is an open framework implementing the Model Context Protocol to enable AI agents to securely access and interact with monday.com's work operating system, providing tools and context for intelligent decision-making within workflows. - [prajwalshettydev/UnrealGenAISupport](https://github.com/prajwalshettydev/UnrealGenAISupport) (422 C++) - UnrealGenAISupport is an Unreal Engine plugin that integrates generative AI models via Model Control Protocol (MCP) to enable automatic blueprint and scene generation, AI-driven game content creation, and control within Unreal Engine 5.5 and above. - [smithery-ai/mcp-obsidian](https://github.com/smithery-ai/mcp-obsidian) (1329 JavaScript) - mcp-obsidian is a connector that enables MCP clients like Claude Desktop to read and search Obsidian vaults containing Markdown notes, enhancing AI-driven knowledge retrieval. ## MCP Frameworks and libraries ### Python - [a2aproject/a2a-python](https://github.com/a2aproject/a2a-python) (1235 Python) - The a2a-python project is the official Python SDK for the Agent2Agent (A2A) Protocol, enabling developers to build and run agentic applications as A2AServers following the A2A Protocol. - [a2aproject/a2a-samples](https://github.com/a2aproject/a2a-samples) (1370 Jupyter Notebook) - This repository provides code samples and demos for implementing and understanding the Agent2Agent (A2A) Protocol, focusing on secure communication between autonomous agents. - [ahmedeltaher/azan-mcp](https://github.com/ahmedeltaher/azan-mcp) (382 Kotlin) - Azan-mcp is a lightweight MCP library that calculates Islamic prayer times and triggers Azan with a single tool call, simplifying complex astronomical calculations for developers building AI agents or prayer applications. - [Arize-ai/openinference](https://github.com/Arize-ai/openinference) (877 Python) - OpenInference is an open-source extension of OpenTelemetry that provides comprehensive tracing and observability for AI applications, including support for the Model Context Protocol (MCP). - [Arize-ai/phoenix](https://github.com/Arize-ai/phoenix) (7290 Jupyter Notebook) - Phoenix is an open-source AI observability platform for experimentation, evaluation, and troubleshooting of large language model applications, supporting multiple frameworks and LLM providers with flexible deployment options. - [assafelovic/gpt-researcher](https://github.com/assafelovic/gpt-researcher) (25605 Python) - GPT Researcher is an autonomous AI agent that conducts deep local and web research on any topic, generating detailed, unbiased reports with citations and supporting integration with the Model Context Protocol (MCP) for enhanced data sourcing. - [awslabs/graphrag-toolkit](https://github.com/awslabs/graphrag-toolkit) (364 Python) - The graphrag-toolkit is a Python toolkit for building graph-enhanced Generative AI applications, featuring BYOKG-RAG for knowledge graph question answering and an MCP server for dynamic tool generation in multi-tenant environments. - [Chen-zexi/open-ptc-agent](https://github.com/Chen-zexi/open-ptc-agent) (689 Python) - Open PTC Agent is an open source implementation of Programmatic Tool Calling (PTC) with MCP, enabling efficient and powerful code execution workflows for large language models in a secure sandbox environment. - [cognitivecomputations/dolphin-mcp](https://github.com/cognitivecomputations/dolphin-mcp) (531 Python) - Dolphin MCP is a flexible Python library and CLI tool that enables conversational interaction with multiple Model Context Protocol (MCP) servers using various large language models. - [datalayer/jupyter-mcp-server](https://github.com/datalayer/jupyter-mcp-server) (934 Python) - Jupyter MCP Server is an MCP server implementation that enables real-time interaction and automation with Jupyter notebooks in JupyterLab environments, compatible with various MCP clients including Claude Desktop AI assistant. - [deedy5/ddgs](https://github.com/deedy5/ddgs) (2276 Python) - DDGS is a metasearch library that aggregates results from multiple web search services and integrates with the Model Context Protocol (MCP) for AI-assisted search capabilities. - [golf-mcp/golf](https://github.com/golf-mcp/golf) (813 Python) - Golf is a production-ready framework for building, deploying, and scaling secure MCP servers that power AI agents, featuring automatic component discovery, built-in authentication, observability, debugging, telemetry, and runtime management. - [GongRzhe/Office-Word-MCP-Server](https://github.com/GongRzhe/Office-Word-MCP-Server) (1693 Python) - Office-Word-MCP-Server is an MCP server that enables AI assistants to create, read, and manipulate Microsoft Word documents through a standardized interface with rich editing capabilities. - [google-a2a/a2a-python](https://github.com/google-a2a/a2a-python) (1715 Python) - Official Python SDK for building and running agentic applications as A2AServers following the Agent2Agent (A2A) Protocol. - [haris-musa/excel-mcp-server](https://github.com/haris-musa/excel-mcp-server) (3432 Python) - An MCP server enabling AI-driven creation, reading, and modification of Excel files without requiring Microsoft Excel installation, supporting both local and remote use through stdio and SSE transport modes. - [heshengtao/comfyui_LLM_party](https://github.com/heshengtao/comfyui_LLM_party) (2123 Python) - ComfyUI LLM Party is a versatile framework integrating multiple LLMs and MCP server support within ComfyUI to build customizable LLM workflows and AI assistants with social app integration and advanced multi-agent interactions. - [jlowin/fastmcp](https://github.com/jlowin/fastmcp) (23506 Python) - FastMCP is a Python framework that simplifies building Model Context Protocol (MCP) servers and clients by providing a high-level, Pythonic interface to expose data and functionality to large language models efficiently. - [lamaalrajih/kicad-mcp](https://github.com/lamaalrajih/kicad-mcp) (393 Python) - KiCad MCP Server is a cross-platform Model Context Protocol server that enables advanced management and analysis of KiCad PCB projects through MCP-compliant clients using natural language and programmatic interactions. - [lastmile-ai/mcp-agent](https://github.com/lastmile-ai/mcp-agent) (8088 Python) - mcp-agent is a lightweight, composable framework for building AI agents and orchestrating multi-agent systems using the Model Context Protocol in a model-agnostic way. - [lemonade-sdk/lemonade](https://github.com/lemonade-sdk/lemonade) (2337 Python) - Lemonade SDK is a toolkit for serving, benchmarking, and deploying large language models locally with NPU and GPU acceleration, supporting multiple frameworks and providing APIs and CLI tools for integration and evaluation. - [MarkusPfundstein/mcp-gsuite](https://github.com/MarkusPfundstein/mcp-gsuite) (479 Python) - mcp-gsuite is an MCP server that integrates Gmail and Google Calendar functionalities through the Model Context Protocol, enabling advanced email and calendar management across multiple Google accounts. - [mcp-use/mcp-use](https://github.com/mcp-use/mcp-use) (9396 Python) - mcp-use is an open-source client library that enables easy connection of any tool-capable LLM to MCP servers for building custom agents with diverse tool access. - [MervinPraison/PraisonAI](https://github.com/MervinPraison/PraisonAI) (5638 Python) - PraisonAI is a production-ready Multi AI Agents framework that provides a low-code solution for building and managing multi-agent LLM systems with a focus on simplicity, customization, and human-agent collaboration. - [microsoft/markitdown](https://github.com/microsoft/markitdown) (90390 Python) - MarkItDown is a Python tool that converts various file formats into Markdown and integrates with LLM applications via an MCP server for enhanced text analysis and document processing. - [modelcontextprotocol/python-sdk](https://github.com/modelcontextprotocol/python-sdk) (22035 Python) - The official Python SDK for the Model Context Protocol (MCP) enabling developers to build standardized MCP servers and clients for LLM context and interaction. - [mozilla-ai/any-agent](https://github.com/mozilla-ai/any-agent) (1113 Python) - any-agent is a unified interface for using and evaluating multiple AI agent frameworks, supporting integration with Model Context Protocol tools and multi-agent systems. - [NicholasGoh/fastapi-mcp-langgraph-template](https://github.com/NicholasGoh/fastapi-mcp-langgraph-template) (536 Python) - A modern, scalable template integrating Model Context Protocol (MCP) and LangGraph for rapid development and deployment of context-aware large language model applications. - [Panniantong/Agent-Reach](https://github.com/Panniantong/Agent-Reach) (7298 Python) - Agent Reach gives AI agents the ability to read and search the entire internet across multiple platforms like Twitter, Reddit, YouTube, GitHub, and more, all via a simple CLI with zero API fees. - [PrefectHQ/fastmcp](https://github.com/PrefectHQ/fastmcp) (23506 Python) - FastMCP offers a Pythonic framework for developing and interacting with Model Context Protocol (MCP) servers and clients, facilitating efficient communication with LLMs. - [reading-plus-ai/mcp-server-data-exploration](https://github.com/reading-plus-ai/mcp-server-data-exploration) (527 Python) - MCP Server for Data Exploration is an interactive tool leveraging the Model Context Protocol to transform complex datasets into actionable insights through CSV loading and Python script execution. - [statespace-tech/statespace](https://github.com/statespace-tech/statespace) (824 Python) - ToolFront by statespace-tech is a declarative framework that enables rapid creation and sharing of modular LLM-powered RAG applications using pure Markdown with zero boilerplate code. - [strands-agents/sdk-python](https://github.com/strands-agents/sdk-python) (5279 Python) - Strands Agents is a Python SDK that enables building and running AI agents using a model-driven approach with native support for Model Context Protocol (MCP) servers and multiple AI model providers. - [strands-agents/tools](https://github.com/strands-agents/tools) (961 Python) - Strands Agents Tools is a versatile toolkit that equips AI agents with diverse capabilities through a model-driven approach, enabling them to perform complex tasks with minimal code. - [tadata-org/fastapi_mcp](https://github.com/tadata-org/fastapi_mcp) (11630 Python) - FastAPI-MCP is a tool that exposes FastAPI endpoints as Model Context Protocol (MCP) tools with built-in authentication, preserving schemas and documentation, and supporting flexible deployment using FastAPI's native ASGI interface. - [taylorwilsdon/google_workspace_mcp](https://github.com/taylorwilsdon/google_workspace_mcp) (1732 Python) - A high-performance MCP server enabling full natural language control and AI assistant integration with all major Google Workspace services including Calendar, Gmail, Drive, Docs, Sheets, Slides, Forms, and Chat. - [themanojdesai/python-a2a](https://github.com/themanojdesai/python-a2a) (938 Python) - Python A2A is a production-ready Python library implementing Google's Agent-to-Agent protocol with full Model Context Protocol integration, enabling seamless communication and collaboration between interoperable AI agents. - [Upsonic/Upsonic](https://github.com/Upsonic/Upsonic) (7808 Python) - Upsonic is a reliability-focused AI agent framework that supports the Model Context Protocol (MCP) to enable trusted, scalable, and production-ready agent workflows with advanced verification and tool integration features. - [utensils/mcp-nixos](https://github.com/utensils/mcp-nixos) (468 Python) - MCP-NixOS is a Model Context Protocol server that delivers accurate, real-time NixOS package and configuration data to AI assistants, preventing hallucinations and ensuring reliable information access. - [vivekVells/mcp-pandoc](https://github.com/vivekVells/mcp-pandoc) (507 Python) - mcp-pandoc is an MCP server that enables seamless document format conversion across multiple formats using pandoc within the Model Context Protocol ecosystem. - [xing5/mcp-google-sheets](https://github.com/xing5/mcp-google-sheets) (726 Python) - mcp-google-sheets is a Python-based MCP server that enables AI-driven spreadsheet creation and manipulation by integrating Google Sheets and Drive APIs for use with MCP-compatible clients. ### TypeScript - [activepieces/activepieces](https://github.com/activepieces/activepieces) (21137 TypeScript) - Activepieces is an open-source AI automation platform providing an extensible MCP toolkit and over 280 MCP servers for AI agents, designed for both technical and non-technical users. - [antfu/nuxt-mcp](https://github.com/antfu/nuxt-mcp) (899 TypeScript) - antfu/nuxt-mcp is an experimental MCP server project that adds Model Context Protocol support to Vite and Nuxt applications, enhancing AI model understanding of these frontend frameworks. - [cgoinglove/mcp-client-chatbot](https://github.com/cgoinglove/mcp-client-chatbot) (324 TypeScript) - MCP Client Chatbot is an open-source AI chatbot interface that integrates multiple AI providers and external tools via the Model Context Protocol, focusing on local execution and user control for an intuitive chat experience. - [corespeed-io/zypher-agent](https://github.com/corespeed-io/zypher-agent) (558 TypeScript) - Zypher Agent is a minimal yet powerful framework for creating production-ready AI agents with full control over tools, providers, and execution flow, featuring native support for the Model Context Protocol (MCP). - [decocms/mesh](https://github.com/decocms/mesh) (337 TypeScript) - DecoCMS is an open-source MCP-native Context Management System that centralizes and secures MCPs for AI workflows and agents, enabling full-stack TypeScript development, governance, observability, and flexible deployment across cloud and edge environments. - [exa-labs/exa-mcp-server](https://github.com/exa-labs/exa-mcp-server) (3955 TypeScript) - Exa MCP Server is a Model Context Protocol server that enables AI assistants like Claude to perform real-time web searches using the Exa AI Search API with multiple specialized search tools. - [firecrawl/firecrawl-mcp-server](https://github.com/firecrawl/firecrawl-mcp-server) (5379 JavaScript) - Firecrawl MCP Server is an MCP server implementation that adds advanced web scraping, crawling, and search capabilities to LLM clients like Cursor and Claude, enabling enhanced data extraction and research functionalities. - [idosal/mcp-ui](https://github.com/idosal/mcp-ui) (4500 TypeScript) - mcp-ui is a TypeScript SDK that enhances the Model Context Protocol by enabling rich, interactive UI components through server-generated HtmlResourceBlocks and client-side React rendering, facilitating dynamic AI interactions. - [jacksteamdev/obsidian-mcp-tools](https://github.com/jacksteamdev/obsidian-mcp-tools) (630 TypeScript) - MCP Tools for Obsidian is a plugin and local server that enable secure AI integrations with Obsidian vaults via the Model Context Protocol, providing semantic search, template execution, and controlled vault access for AI applications like Claude Desktop. - [jasonjmcghee/WebMCP](https://github.com/jasonjmcghee/WebMCP) (561 JavaScript) - WebMCP is a protocol and toolkit enabling websites to act as MCP servers, sharing tools and resources securely with client-side large language models to enhance user interactions. - [Jpisnice/shadcn-ui-mcp-server](https://github.com/Jpisnice/shadcn-ui-mcp-server) (2682 TypeScript) - A Model Context Protocol server providing AI assistants with comprehensive access to shadcn/ui v4 components, demos, and metadata across React, Svelte, Vue, and React Native frameworks for enhanced AI-powered UI development workflows. - [lobehub/lobe-chat](https://github.com/lobehub/lobe-chat) (73294 TypeScript) - Lobe Chat is an open-source, modern AI chat framework supporting multiple AI providers, multi-modal features including MCP, and advanced conversation management with one-click private deployment options. - [marcoaapfortes/Mantic.sh](https://github.com/marcoaapfortes/Mantic.sh) (540 TypeScript) - Mantic.sh is a context-aware structural code search engine optimized for AI agents, providing highly relevant and intent-driven code search with full Model Context Protocol (MCP) support. - [mario-andreschak/FLUJO](https://github.com/mario-andreschak/FLUJO) (588 TypeScript) - FLUJO is an open-source platform that integrates Model-Context-Protocol (MCP) server management, multi-model AI workflows, and secure API key handling into a unified workflow orchestration and chat interface environment. - [mcpdotdirect/evm-mcp-server](https://github.com/mcpdotdirect/evm-mcp-server) (367 TypeScript) - EVM MCP Server is a Model Context Protocol server that enables AI agents to interact with multiple EVM-compatible blockchains through a unified interface, supporting extensive blockchain services including smart contract interactions, token transfers, and ENS name resolution. - [metatool-ai/metamcp](https://github.com/metatool-ai/metamcp) (2089 TypeScript) - MetaMCP is a proxy server that aggregates multiple MCP servers into a unified MCP server endpoint, applies middleware, and hosts these endpoints for seamless integration with MCP clients. - [metatool-ai/metatool-app](https://github.com/metatool-ai/metatool-app) (2089 TypeScript) - MetaMCP is a unified middleware MCP server and GUI application that aggregates multiple MCP servers into a single interface, enabling efficient management, middleware application, and enhanced inspection of MCP servers and clients. - [mnfst/manifest](https://github.com/mnfst/manifest) (3697 TypeScript) - Manifest is an open-source components library built on shadcn/ui for creating customizable and production-ready ChatGPT and MCP applications efficiently. - [modelcontextprotocol/typescript-sdk](https://github.com/modelcontextprotocol/typescript-sdk) (11792 TypeScript) - Official TypeScript SDK for building and interacting with Model Context Protocol (MCP) servers and clients, enabling standardized context provision for large language models. - [modelcontextprotocol/use-mcp](https://github.com/modelcontextprotocol/use-mcp) (1031 TypeScript) - use-mcp is a lightweight React hook that simplifies connecting to Model Context Protocol (MCP) servers by managing authentication, connection states, and tool invocation for AI applications. - [nerding-io/n8n-nodes-mcp](https://github.com/nerding-io/n8n-nodes-mcp) (2996 TypeScript) - An n8n custom node that enables interaction with Model Context Protocol (MCP) servers, allowing AI-driven workflows to access and execute external tools and data sources through MCP. - [punkpeye/fastmcp](https://github.com/punkpeye/fastmcp) (2982 TypeScript) - FastMCP is a TypeScript framework that simplifies building Model Context Protocol (MCP) servers by handling client sessions, multiple content types, real-time updates, and flexible tool definitions using standard schema validation libraries. - [QuantGeekDev/mcp-framework](https://github.com/QuantGeekDev/mcp-framework) (904 TypeScript) - MCP Framework is a TypeScript-based framework that simplifies building Model Context Protocol (MCP) servers with features like automatic discovery, multiple transport support, built-in authentication, and comprehensive validation tools. - [rekog-labs/MCP-Nest](https://github.com/rekog-labs/MCP-Nest) (596 TypeScript) - A NestJS module that enables effortless creation of Model Context Protocol (MCP) servers to expose AI tools, resources, and prompts with support for multiple transport types and authentication. - [samanhappy/mcphub](https://github.com/samanhappy/mcphub) (1853 TypeScript) - MCPHub is a unified management platform that aggregates multiple Model Context Protocol (MCP) servers into streamable HTTP endpoints, providing centralized control, real-time monitoring, secure access, and intelligent tool discovery for efficient AI tool integration. - [sendaifun/solana-agent-kit](https://github.com/sendaifun/solana-agent-kit) (1541 TypeScript) - Solana Agent Kit is an open-source toolkit that enables AI agents to autonomously perform a wide range of actions on Solana blockchain protocols, integrating AI models with decentralized finance, NFTs, and cross-chain operations. - [Shopify/dev-mcp](https://github.com/Shopify/dev-mcp) (386 TypeScript) - Shopify Dev MCP Server is a Model Context Protocol server that enables interaction with Shopify Dev by providing tools to search documentation and access the Shopify Admin GraphQL schema. - [srbhptl39/MCP-SuperAssistant](https://github.com/srbhptl39/MCP-SuperAssistant) (2323 TypeScript) - MCP SuperAssistant is a browser extension that integrates the Model Context Protocol with multiple AI platforms, enabling execution of MCP tools and enhancing AI conversations with real-time data and tool results. - [strands-agents/sdk-typescript](https://github.com/strands-agents/sdk-typescript) (512 TypeScript) - Strands Agents SDK for TypeScript is a model-driven, type-safe framework for building and running AI agents with native support for the Model Context Protocol (MCP) and multiple model providers. - [TencentEdgeOne/edgeone-pages-mcp](https://github.com/TencentEdgeOne/edgeone-pages-mcp) (396 HTML) - EdgeOne Pages MCP is an MCP service that enables rapid deployment of HTML content to Tencent's EdgeOne Pages platform, providing publicly accessible URLs for fast edge delivery. - [tevonsb/homeassistant-mcp](https://github.com/tevonsb/homeassistant-mcp) (551 TypeScript) - A Model Context Protocol (MCP) server for Home Assistant that enables natural language control and real-time management of smart home devices through integration with Language Learning Models (LLMs). - [ThinkInAIXYZ/deepchat](https://github.com/ThinkInAIXYZ/deepchat) (5555 TypeScript) - DeepChat is an open-source AI chat platform that unifies multiple large language models with advanced search enhancement and Model Context Protocol (MCP) support for tool integration and code execution. - [ttommyth/interactive-mcp](https://github.com/ttommyth/interactive-mcp) (332 TypeScript) - interactive-mcp is a local MCP server that enables interactive prompts, notifications, and chat sessions between large language models and users on their local machines. - [vercel-labs/mcp-for-next.js](https://github.com/vercel-labs/mcp-for-next.js) (344 JavaScript) - An example Next.js MCP server implementation using @vercel/mcp-adapter for integrating Model Context Protocol functionality into Next.js applications, optimized for deployment on Vercel. - [vercel/mcp-adapter](https://github.com/vercel/mcp-adapter) (571 TypeScript) - A Vercel adapter that enables easy deployment of Model Context Protocol (MCP) servers on Next.js and other frameworks, facilitating real-time communication between applications and AI models. - [VoltAgent/voltagent](https://github.com/VoltAgent/voltagent) (6537 TypeScript) - VoltAgent is an open-source TypeScript framework for building and orchestrating autonomous AI agents with support for the Model Context Protocol (MCP) to enable standardized tool interactions and scalable multi-agent systems. - [yuniko-software/minecraft-mcp-server](https://github.com/yuniko-software/minecraft-mcp-server) (499 TypeScript) - Minecraft MCP Server is a bot that uses the Model Context Protocol and Mineflayer API to allow AI models like Claude to control a Minecraft character in real-time through natural language commands. - [zaidmukaddam/scira-mcp-chat](https://github.com/zaidmukaddam/scira-mcp-chat) (830 TypeScript) - Scira MCP Chat is an open-source AI chatbot client that leverages the Model Context Protocol to connect with various MCP servers and AI tools, providing a modern and extensible chat experience. - [ZubeidHendricks/youtube-mcp-server](https://github.com/ZubeidHendricks/youtube-mcp-server) (376 TypeScript) - YouTube MCP Server is an MCP server implementation that enables AI language models to interact with YouTube content for video, channel, and playlist management through a standardized interface. ### Go - [ankorstore/yokai](https://github.com/ankorstore/yokai) (821 Go) - Yokai is a simple, modular, and observable Go framework designed to simplify building production-grade backend applications, including support for Model Context Protocol (MCP) applications. - [gojue/moling](https://github.com/gojue/moling) (330 Go) - MoLing is a dependency-free, cross-platform MCP server that acts as a local office AI assistant by enabling system and browser interactions and supporting multiple MCP clients. - [mark3labs/mcp-filesystem-server](https://github.com/mark3labs/mcp-filesystem-server) (614 Go) - MCP Filesystem Server is a secure and comprehensive Go-based server implementing the Model Context Protocol to provide controlled access and operations on the local filesystem. - [mark3labs/mcp-go](https://github.com/mark3labs/mcp-go) (7455 Go) - A Go SDK implementing the Model Context Protocol (MCP) to enable seamless integration between LLM applications and external data sources and tools. - [modelcontextprotocol/go-sdk](https://github.com/modelcontextprotocol/go-sdk) (3742 Go) - The official Go SDK for the Model Context Protocol (MCP) providing tools and APIs to build MCP clients and servers, currently unreleased and maintained in collaboration with Google. - [TBXark/mcp-proxy](https://github.com/TBXark/mcp-proxy) (658 Go) - mcp-proxy is an MCP proxy server that aggregates multiple MCP resource servers into a single HTTP server, providing real-time updates and flexible configuration for seamless MCP client integration. ### C# - [afrise/MCPSharp](https://github.com/afrise/MCPSharp) (361 C#) - MCPSharp is a .NET library that simplifies building Model Context Protocol (MCP) servers and clients, enabling seamless integration of AI tools and models through a standardized API. - [IvanMurzak/Unity-MCP](https://github.com/IvanMurzak/Unity-MCP) (1232 C#) - Unity MCP is a plugin and server that bridges Large Language Models with Unity, enabling AI-driven interaction and automation within the Unity Editor through the Model Context Protocol. - [modelcontextprotocol/csharp-sdk](https://github.com/modelcontextprotocol/csharp-sdk) (4024 C#) - Official C# SDK for the Model Context Protocol enabling .NET applications to implement and interact with MCP clients and servers for standardized integration with Large Language Models. ### Kotlin - [joreilly/ClimateTraceKMP](https://github.com/joreilly/ClimateTraceKMP) (321 Kotlin) - ClimateTraceKMP is a Kotlin/Compose Multiplatform project that visualizes climate-related emission data from climatetrace.org across multiple platforms including iOS, Android, Desktop, and Web. - [joreilly/PeopleInSpace](https://github.com/joreilly/PeopleInSpace) (3309 Kotlin) - PeopleInSpace is a Kotlin Multiplatform project showcasing cross-platform UI development and backend integration, including an MCP server module for Model Context Protocol data services. - [modelcontextprotocol/kotlin-sdk](https://github.com/modelcontextprotocol/kotlin-sdk) (1283 Kotlin) - The MCP Kotlin SDK is a multiplatform toolkit providing client and server implementations to integrate context-aware large language model interactions using the Model Context Protocol with support for standard transports like stdio, SSE, and WebSocket. ### Java - [Hexeption/MCP-Reborn](https://github.com/Hexeption/MCP-Reborn) (1467 ) - MCP-Reborn is a Mod Coder Pack for Minecraft that enables creating modded clients and researching Minecraft's code for versions 1.13 to 1.21.6, based on MCPConfig and ForgeGradle by the MinecraftForge team. - [modelcontextprotocol/java-sdk](https://github.com/modelcontextprotocol/java-sdk) (3235 Java) - The MCP Java SDK is the official Java SDK enabling Java applications to interact with AI models and tools through the Model Context Protocol, supporting both synchronous and asynchronous communication and integrating with Spring AI for enhanced functionality. - [OxideWaveLength/Minecraft-Hack-BaseClient](https://github.com/OxideWaveLength/Minecraft-Hack-BaseClient) (319 Java) - A Minecraft 1.8.8 base hacked client built on MCP featuring modular command and module management, GUI elements, and social interaction tools. ### PHP - [opgginc/laravel-mcp-server](https://github.com/opgginc/laravel-mcp-server) (331 PHP) - Laravel MCP Server by OP.GG is a Laravel package that implements a secure and scalable Model Context Protocol server using Server-Sent Events (SSE) transport for real-time communication and enterprise-grade security. ### Ruby - [modelcontextprotocol/ruby-sdk](https://github.com/modelcontextprotocol/ruby-sdk) (700 Ruby) - Official Ruby SDK for implementing Model Context Protocol (MCP) servers and clients with support for JSON-RPC 2.0, tools, prompts, resources, and multiple transport options including Rails and command-line environments. - [yjacquin/fast-mcp](https://github.com/yjacquin/fast-mcp) (1146 Ruby) - Fast MCP is a Ruby implementation of the Model Context Protocol that simplifies and secures AI model integration with Ruby applications through tools and resources APIs, multiple transport options, and seamless framework support. ### Rust - [harehare/mq](https://github.com/harehare/mq) (345 Rust) - mq is a jq-like command-line tool for processing and transforming Markdown files, with features supporting LLM workflows and an MCP server implementation for AI assistant integration. - [hyper-mcp-rs/hyper-mcp](https://github.com/hyper-mcp-rs/hyper-mcp) (871 Rust) - hyper-mcp is a fast, secure MCP server that extends its capabilities through WebAssembly plugins, supporting multiple MCP protocols and enabling AI integration across diverse environments. - [modelcontextprotocol/rust-sdk](https://github.com/modelcontextprotocol/rust-sdk) (3126 Rust) - The official Rust SDK for the Model Context Protocol providing asynchronous client and server implementations with Tokio runtime and support for various transport layers. - [paritytech/subxt](https://github.com/paritytech/subxt) (477 Rust) - Subxt is a versatile Rust and WebAssembly library enabling interaction with Substrate-based blockchain nodes through transaction submission, event subscription, storage access, and runtime API calls via static and dynamic interfaces. ### Swift - [loopwork-ai/iMCP](https://github.com/loopwork-ai/iMCP) (1187 Swift) - iMCP is a macOS app that acts as an MCP server, enabling AI clients to securely access and manage personal data services like Calendar, Contacts, Messages, and more through the Model Context Protocol. - [mihaelamj/cupertino](https://github.com/mihaelamj/cupertino) (611 Swift) - Cupertino is a Swift-based local Apple Documentation crawler and MCP server that indexes and serves comprehensive Apple developer documentation to AI agents for accurate, offline, and deterministic access via the Model Context Protocol. - [modelcontextprotocol/swift-sdk](https://github.com/modelcontextprotocol/swift-sdk) (1291 Swift) - Official Swift SDK for the Model Context Protocol enabling development of MCP servers and clients with support for multiple transports and real-time communication. ## MCP Utilities & Tools ### Testing & Debugging - [LSTM-Kirigaya/openmcp-client](https://github.com/LSTM-Kirigaya/openmcp-client) (734 HTML) - OpenMCP is an all-in-one VSCode plugin that integrates development, testing, and management tools for Model Context Protocol (MCP) server debugging and large model interaction. - [MCPJam/inspector](https://github.com/MCPJam/inspector) (1635 TypeScript) - MCPJam Inspector is a developer tool for testing and debugging MCP servers, supporting multiple protocols and LLM interaction, designed to streamline MCP development workflows. - [modelcontextprotocol/inspector](https://github.com/modelcontextprotocol/inspector) (8964 TypeScript) - MCP Inspector is a developer tool that provides a visual UI and CLI for testing, debugging, and interacting with Model Context Protocol (MCP) servers, enhancing MCP server development workflows. ### Gateways - [alibaba/higress](https://github.com/alibaba/higress) (7702 Go) - Higress is a cloud-native AI native API gateway by Alibaba that supports hosting Model Context Protocol (MCP) servers, enabling unified management of AI and LLM APIs with extensible Wasm plugins and enterprise-grade features. - [AmoyLab/Unla](https://github.com/AmoyLab/Unla) (2048 Go) - Unla is a lightweight MCP Gateway service that converts existing MCP Servers and APIs into MCP-compliant endpoints through configuration without code changes, supporting Docker and Kubernetes deployments with a management UI. - [IBM/mcp-context-forge](https://github.com/IBM/mcp-context-forge) (3377 Python) - IBM/mcp-context-forge is a production-grade MCP Gateway that unifies and manages MCP and REST services, providing a secure, scalable, and feature-rich interface for AI clients. - [Kong/kong](https://github.com/Kong/kong) (42643 Lua) - Kong Gateway is a cloud-native, scalable API gateway that manages API, AI LLM, and Model Context Protocol (MCP) traffic with advanced security, observability, and extensibility features. - [lasso-security/mcp-gateway](https://github.com/lasso-security/mcp-gateway) (352 Python) - MCP Gateway is a plugin-based gateway that orchestrates multiple Model Context Protocol (MCP) servers, providing centralized management, security guardrails, and a unified interface for AI infrastructure. - [mcp-ecosystem/mcp-gateway](https://github.com/mcp-ecosystem/mcp-gateway) (2048 Go) - MCP Gateway is a lightweight, configuration-driven gateway service that converts existing APIs into MCP protocol-compliant endpoints without code changes, supporting Docker and Kubernetes deployments with a built-in management UI. - [mcpjungle/MCPJungle](https://github.com/mcpjungle/MCPJungle) (893 Go) - MCPJungle is a self-hosted MCP server registry and gateway that centralizes the management and discovery of MCP servers and tools for AI agents and organizations. - [open-webui/mcpo](https://github.com/open-webui/mcpo) (4034 Python) - mcpo is a secure and simple proxy server that exposes Model Context Protocol (MCP) tools as OpenAPI-compatible HTTP servers, enabling seamless integration with LLM agents and applications. - [open-webui/openapi-servers](https://github.com/open-webui/openapi-servers) (868 Python) - OpenAPI Tool Servers provides reference implementations and bridging tools to integrate OpenAPI-based tool servers with Model Context Protocol (MCP) servers, enabling secure, standardized APIs for AI applications and workflows. - [sparfenyuk/mcp-proxy](https://github.com/sparfenyuk/mcp-proxy) (2317 Python) - mcp-proxy is a proxy server tool that enables communication between MCP servers using stdio and SSE transport protocols, facilitating interoperability within the MCP ecosystem. - [tbxark/mcp-proxy](https://github.com/tbxark/mcp-proxy) (625 Go) - mcp-proxy is an MCP proxy server that aggregates multiple MCP resource servers behind a single HTTP entrypoint, supporting SSE and streamable HTTP for efficient data streaming. - [TheLunarCompany/lunar](https://github.com/TheLunarCompany/lunar) (405 Go) - Lunar.dev is an open-source platform providing centralized management, governance, and optimization of third-party API consumption with unified MCP aggregation for AI and application workloads. ## MCP Resources & Educational Materials - [ai-boost/awesome-a2a](https://github.com/ai-boost/awesome-a2a) (527 ) - A curated collection of resources, tools, and implementations for the Google Agent2Agent (A2A) Protocol enabling secure communication and collaboration between AI agents from different vendors and frameworks. - [Arindam200/awesome-ai-apps](https://github.com/Arindam200/awesome-ai-apps) (9190 Jupyter Notebook) - A comprehensive collection of practical examples, tutorials, and tools for building powerful LLM-powered AI applications, including chatbots, agents, and workflows, with a focus on the Model Context Protocol (MCP). - [ashishps1/learn-ai-engineering](https://github.com/ashishps1/learn-ai-engineering) (4798 ) - A comprehensive curated collection of free resources to learn AI, Machine Learning, Large Language Models, AI Agents, and the Model Context Protocol from scratch. - [Azure-Samples/AI-Gateway](https://github.com/Azure-Samples/AI-Gateway) (880 Jupyter Notebook) - Azure-Samples/AI-Gateway is a project demonstrating the AI Gateway pattern with Azure API Management, integrating AI services like Azure OpenAI and Model Context Protocol to enable secure, efficient, and innovative AI service management and experimentation. - [google-a2a/a2a-samples](https://github.com/google-a2a/a2a-samples) (1370 Python) - The google-a2a/a2a-samples repository provides practical code samples and demos for implementing and experimenting with the Agent2Agent (A2A) Protocol, facilitating communication between autonomous agents. - [heilcheng/awesome-agent-skills](https://github.com/heilcheng/awesome-agent-skills) (2797 ) - A curated repository of modular skills, tools, and tutorials for enhancing AI coding agents like Claude, Codex, Copilot, and VS Code through dynamic instruction files. - [jeremylongshore/claude-code-plugins-plus-skills](https://github.com/jeremylongshore/claude-code-plugins-plus-skills) (1551 Python) - Claude Code Skills & Plugins Hub is a comprehensive collection of AI-embedded plugins and skills with interactive tutorials designed to build and verify production agent workflows, relevant to Model Context Protocol (MCP). - [microsoft/mcp-for-beginners](https://github.com/microsoft/mcp-for-beginners) (15152 Python) - An open-source curriculum designed to teach the concepts and fundamentals of the Model Context Protocol (MCP) with practical coding examples in multiple programming languages. - [modelcontextprotocol/modelcontextprotocol](https://github.com/modelcontextprotocol/modelcontextprotocol) (7430 TypeScript) - The Model Context Protocol project provides a standardized specification and schema for managing model context to enable interoperability in model-driven systems. - [modelcontextprotocol/quickstart-resources](https://github.com/modelcontextprotocol/quickstart-resources) (1018 TypeScript) - A repository providing server and client examples from Model Context Protocol tutorials to help users quickly learn and implement MCP. - [multi-modal-ai/multimodal-agents-course](https://github.com/multi-modal-ai/multimodal-agents-course) (515 Python) - Kubrick Course is a free, open-source program teaching developers to build advanced MCP multimodal AI agents capable of processing images, text, audio, and video for production-ready AI systems. - [panaversity/learn-agentic-ai](https://github.com/panaversity/learn-agentic-ai) (3951 Jupyter Notebook) - Learn Agentic AI using the Dapr Agentic Cloud Ascent (DACA) design pattern integrating OpenAI Agents SDK, Model Context Protocol (MCP), and Kubernetes to build scalable multi-agent AI systems capable of handling 10 million concurrent agents. - [patchy631/ai-engineering-hub](https://github.com/patchy631/ai-engineering-hub) (31517 Jupyter Notebook) - AI Engineering Hub offers in-depth tutorials and practical resources on Large Language Models, Retrieval-Augmented Generation, and real-world AI agent applications for all skill levels. - [Puliczek/awesome-mcp-security](https://github.com/Puliczek/awesome-mcp-security) (662 ) - Awesome MCP Security is a comprehensive curated resource repository focused on the security aspects, best practices, research, and tools related to the Model Context Protocol (MCP). - [punkpeye/awesome-mcp-devtools](https://github.com/punkpeye/awesome-mcp-devtools) (429 ) - A curated list of developer tools, SDKs, libraries, and utilities for Model Context Protocol (MCP) server development. - [sing1ee/a2a-directory](https://github.com/sing1ee/a2a-directory) (320 ) - sing1ee/a2a-directory is a comprehensive resource directory for Google's Agent2Agent (A2A) protocol, facilitating secure and asynchronous communication and collaboration between AI agents across diverse platforms and languages. - [strands-agents/samples](https://github.com/strands-agents/samples) (680 Python) - Strands Agents Samples is a repository providing educational and demonstration examples for building AI agents using a model-driven approach with the Strands Agents SDK, supporting learning and experimentation in AI agent development. - [the-ai-merge/multimodal-agents-course](https://github.com/the-ai-merge/multimodal-agents-course) (546 Python) - An open-source course teaching developers to build MCP-based multimodal AI agents capable of processing images, text, audio, and video, with a focus on video processing and production-ready AI systems. - [zebbern/claude-code-guide](https://github.com/zebbern/claude-code-guide) (3260 ) - A comprehensive and detailed guide for Claude Code CLI tool, covering all commands, installation, configuration, and Model Context Protocol (MCP) integration for optimized use. ## License [<img src="https://mirrors.creativecommons.org/presskit/buttons/88x31/svg/cc-zero.svg">](https://creativecommons.org/publicdomain/zero/1.0/)