mcp-server

# Model Context Protocol Marketplace MCP Server shared repository for Volcano Engine's large model ecosystem, supporting users to explore and experience rich ecosystem services of large models, easily integrate comprehensive and easy-to-use tools, and enjoy enterprise-level stable, efficient, and secure technical support, fully releasing model potential and empowering innovative application development. [Volcano Engine Large Model Ecosystem Square](https://www.volcengine.com/mcp-marketplace) has launched over 100 MCP Servers, integrating rich Volcano Engine official cloud services and high-quality third-party ecosystem tools. It also supports users to combine Volcano Ark large model services, quickly jump to Volcano Ark or other platforms that support MCP protocol (such as Trae, Cursor, Python, etc.), helping enterprise developers accurately build AI large model applications that fit their business scenarios, and paving the last mile for large model application landing. ## Product Advantages - **Rich Resource Integration:** Integrates rich cloud resources and high-quality third-party services, providing Volcano Engine official cloud service MCP Servers, such as database, storage, etc., while also integrating various third-party ecosystem tools, offering customers more production-available and high-value tools and resources. - **Flexible Deployment Mode:** Provides Local and Remote MCP service deployment modes, flexibly adapting to enterprise customers' diverse application scenarios. - **End-to-End Application Ecological Connection:** Relying on ByteHouse ecosystem resources, easily build end-to-end AI applications. Users can select required MCP services in the ecosystem square, combine with [Volcano Ark](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&projectName=default&type=new) large model services, and jump to Volcano Ark or MCP protocol-supported platforms like Trae to quickly develop and build applications. ## Usage Guide 1. **View MCP Server Details** On Volcano Engine [Large Model Ecosystem Square](https://www.volcengine.com/mcp-marketplace), select a suitable MCP Server and view its details. 2. **Select the Platform for MCP Server Operation** Check the platforms that the current MCP Server has adapted to and select a suitable one. 3. **View and Compare Available Tools** Carefully view the functional descriptions and required input parameters of available tools and try running corresponding functions. 4. **Obtain Exclusive URL or Code Example** Check account login status and service opening situation, generate a unique URL or code example. 5. **Install and Use in MCP Client** Copy the URL or JSON and go to the supported MCP Client to install and use the MCP Server. ## MCP Client Support List - **Volcano Ark**: Currently, MCP services have supported experience center and high-code applications - **Trae** - **Cursor** - **Python** ## MCP Server List MCP Server list is synchronized with **[Volcano Engine Large Model Ecosystem Square](https://www.volcengine.com/mcp-marketplace)**. ### **Computing** - **[ECS MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_ecs)**: Use natural language to drive resource management for cloud server instances and images. - **[Cloud Assistant MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_cloud_assistant)**: Use natural language to drive custom commands to be sent and executed on cloud server instances. ### **Storage** - **[TOS MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_tos)**: Manage TOS resources based on MCP and intelligently explore data. - **[TLS MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_tls)**: Experience natural language-driven log analysis. - **[EBS MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_ebs)**: Provide MCP interface for Volcano Engine EBS (Elastic Block Storage) service, support querying cloud disk and snapshot information, and help developers quickly integrate EBS storage management capabilities into AI applications. ### **Database** - **[RDS MySQL MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_rds_mysql)**: A ready-to-use, stable, reliable, flexible, and easy-to-use relational database service. - **[veDB MySQL MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_vedb_mysql)**: veDB MySQL version adopts a compute-storage separation architecture, 100% compatible with MySQL, supports up to 200TiB of super-large structured data storage, and a single database cluster can be expanded to 16 compute nodes. - **[Redis MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_redis)**: Use natural language to drive management of Volcano Engine cache database Redis instances. - **[MongoDB MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_mongodb)**: Use natural language to drive custom commands to be sent and executed on Volcano Engine document database MongoDB version instances. - **[CloudSearch MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_cloudsearch)**: Cloud Search Service (Cloud Search) is a fully managed one-stop information retrieval and analysis platform provided by Volcano Engine. ### **Container and Middleware** - **[veFaaS MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_vefaas_function)**: veFaaS MCP Server helps you easily manage function and trigger lifecycles. - **[VMP MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_vmp)**: Use natural language to drive query analysis of Prometheus indicator data. - **[APMPlus MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_apmplus)**: Use natural language to drive query application service link tracking logs and runtime indicators. - **[VKE MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_vke)**: Use natural language to drive management of Volcano Engine Container Service VKE instances. ### **CDN and Edge** - **[CDN MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_cdn)**: Volcano Engine CDN intelligent analysis assistant. - **[Edge Computing Node MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_veen)**: Apply, configure, and review edge computing nodes, including virtual machines, images, bare metal, and corresponding network configurations. - **[ALB MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_alb)**: Review application-type load balancing instance information, including instance-associated listeners, backend server groups, and certificates. ### **Big Data** - **[LAS MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_las)**: LAS provides multi-modal dataset management and cleaning capabilities. - **[ByteHouse MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_bytehouse)**: ByteHouse MCP Server achieves efficient collaboration between large language models and ByteHouse, supporting data development (generate code and apply), query optimization (analysis suggestions converted into strategies), and cluster operation and maintenance (risk prediction and processing). ### **Video Cloud** - **[Live MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_live)**: Efficiently query video live service data through natural language. - **[VeVOD MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_vod)**: Volcano Engine VOD intelligent clipping assistant. - **[veImageX MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_veimagex)**: Volcano Engine veImageX intelligent image assistant. - **[Mobile Use MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_mobile_use)**: Face Agent-based MCP automated execution of cloud phone tasks. ### **Security** - **[Security Intelligent Agent MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_sec_agent)**: AI-driven security operation agent, integrating Volcano Engine's security proprietary tools and third-party ecosystem's one-stop intelligent security operation services. ### **Enterprise Service and Cloud Communication** - **[Certificate Center MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_certificate_center)**: Use natural language to drive management of certificate services. - **[Domain Service MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_domain_service)**: Use natural language to efficiently query and register domains. - **[TrafficRoute MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_traffic_route)**: Configure various types of DNS node link paths. ### **Management and Governance** - **[Billing MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_billing)**: Use natural language to drive invocation of Volcano Engine billing center services. - **[IAM MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_iam)**: Use natural language to drive management of Volcano Engine permission systems. - **[STS MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_sts)**: Use natural language to drive invocation of Volcano Engine security credential services. - **[Resource Share MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_resource_share)**: Use natural language to drive invocation of Volcano Engine resource sharing services. - **[Project MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_project)**: Use natural language to drive invocation of Volcano Engine cloud project management services. - **[Cloud Identity MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_cloudidentity)**: Use natural language to drive invocation of Volcano Engine cloud identity center services. - **[Organization MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_organization)**: Use natural language to drive invocation of Volcano Engine enterprise organization services. - **[Tag MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_tag)**: Use natural language to drive invocation of Volcano Engine tag services. - **[Resource Center MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_resourcecenter)**: Use natural language to drive invocation of Volcano Engine resource center services. - **[CloudTrail MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_cloud_trail)**: Use natural language to drive invocation of Volcano Engine cloud audit services. ### **Developer Tools** - **[CCAPI MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_ccapi)**: MCP tool for managing Volc Engine resources based on Cloud Control API. - **[Browser-Use MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_vefaas_browser_use)**: Browser-based MCP tool. - **[Code-Sandbox MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_vefaas_sandbox)**: Code sandbox for LLM. - **[Computer-Use MCP](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_computer_use)**: Natural language-driven efficient management of applications within cloud server instances. - **[Cloud Login - Cloud Fingerprint Browser](https://github.com/clpublic/mcp-server-cloudbrowser-go)**: Provides cloud-based browser automation interaction. - **[Sequential Thinking](https://github.com/modelcontextprotocol/servers/tree/main/src/sequentialthinking)**: Dynamic and reflective problem-solving through thought sequences. - **[Everything](https://github.com/modelcontextprotocol/servers/tree/main/src/everything)**: Reference/test server with prompts, resources, and tools. - **[Memory](https://github.com/modelcontextprotocol/servers/tree/main/src/memory)**: Knowledge graph-based persistent memory system. - **[Puppeteer](https://github.com/modelcontextprotocol/servers/tree/main/src/puppeteer)**: Browser automation and web scraping. - **[Browserbase](https://github.com/browserbase/mcp-server-browserbase)**: Automate browser interactions in the cloud (e.g., web navigation, data extraction, form filling, and more). - **[JetBrains](https://github.com/JetBrains/mcp-jetbrains)**: Work on your code with JetBrains IDEs. - **[Raygun](https://github.com/MindscapeHQ/mcp-server-raygun)**: Interact with your crash reporting and real-time monitoring data on your Raygun account. - **[Dify](https://github.com/YanxingLiu/dify-mcp-server)**: A simple implementation of an MCP server for Dify workflows. - **[Docker](https://github.com/ckreiling/mcp-server-docker)**: Integrate with Docker to manage containers, images, volumes, and networks. - **[Drupal](https://github.com/Omedia/mcp-server-drupal)**: Server for interacting with Drupal using STDIO transport layer. - **[HuggingFace Spaces](https://github.com/evalstate/mcp-hfspace)**: Server for using HuggingFace Spaces, supporting Open Source Image, Audio, Text Models, and more. - **[mcp-k8s-go](https://github.com/strowk/mcp-k8s-go)**: Golang-based Kubernetes server for MCP to browse pods and their logs, events, namespaces, and more. - **[Minima](https://github.com/dmayboroda/minima)**: MCP server for RAG on local files. - **[oatpp-mcp](https://github.com/oatpp/oatpp-mcp)**: C++ MCP integration for Oat++. - **[OpenAPI](https://github.com/snaggle-ai/openapi-mcp-server)**: Interact with OpenAPI APIs. - **[OpenCTI](https://github.com/Spathodea-Network/opencti-mcp)**: Interact with OpenCTI platform to retrieve threat intelligence data. - **[OpenRPC](https://github.com/shanejonas/openrpc-mpc-server)**: Interact with and discover JSON-RPC APIs via OpenRPC. ### **Search Tools** - **[Brave Search](https://github.com/modelcontextprotocol/servers/tree/main/src/brave-search)**: Web and local search using Brave's Search API. - **[Fetch](https://github.com/modelcontextprotocol/servers/tree/main/src/fetch)**: Web content fetching and conversion for efficient LLM usage. - **[Tavily search](https://github.com/RamXX/mcp-tavily)**: An MCP server for Tavily's search & news API, with explicit site inclusions/exclusions. - **[AWS KB Retrieval](https://github.com/modelcontextprotocol/servers/tree/main/src/aws-kb-retrieval-server)**: Retrieval from AWS Knowledge Base using Bedrock Agent Runtime. - **[Youtube](https://github.com/ZubeidHendricks/youtube-mcp-server)**: Comprehensive YouTube API integration for video management, Shorts creation, and analytics. - **[FireCrawl](https://github.com/vrknetha/mcp-server-firecrawl)**: Advanced web scraping with JavaScript rendering, PDF support, and smart rate limiting. - **[Exa](https://github.com/exa-labs/exa-mcp-server)**: Search Engine made for AIs by Exa. - **[Kagi Search](https://github.com/kagisearch/kagimcp)**: Search the web using Kagi's search API. - **[Meilisearch](https://github.com/meilisearch/meilisearch-mcp)**: Interact & query with Meilisearch (Full-text & semantic search API). - **[Qdrant](https://github.com/qdrant/mcp-server-qdrant/)**: Implement semantic memory layer on top of the Qdrant vector search engine. - **[Search1API](https://github.com/fatwang2/search1api-mcp)**: One API for Search, Crawling, and Sitemaps. - **[Glean](https://github.com/longyi1207/glean-mcp-server)**: A server that uses Glean API to search and chat. - **[Pinecone](https://github.com/sirmews/mcp-pinecone)**: MCP server for searching and uploading records to Pinecone. - **[Elasticsearch](https://github.com/cr7258/elasticsearch-mcp-server)**: MCP server implementation that provides Elasticsearch interaction. ### **Location Services** - **[Google Maps](https://github.com/modelcontextprotocol/servers/tree/main/src/google-maps)**: Location services, directions, and place details. - **[FlightRadar24](https://github.com/sunsetcoder/flightradar24-mcp-server)**: A Claude Desktop MCP server that helps you track flights in real-time using Flightradar24 data. ### **Content Generation** - **[EverArt](https://github.com/modelcontextprotocol/servers/tree/main/src/everart)**: AI image generation using various models. - **[Figma](https://github.com/GLips/Figma-Context-MCP)**: Provides layout and style information of Figma files to agents, enhancing their ability to accurately generate designs. ### **Source Management** - **[GitHub](https://github.com/modelcontextprotocol/servers/tree/main/src/github)**: Repository management, file operations, and GitHub API integration. - **[E2B](https://github.com/e2b-dev/mcp-server)**: Run code in secure sandboxes hosted by E2B. - **[Git](https://github.com/modelcontextprotocol/servers/tree/main/src/git)**: Tools to read, search, and manipulate Git repositories. - **[GitLab](https://github.com/modelcontextprotocol/servers/tree/main/src/gitlab)**: GitLab API, enabling project management. - **[Sentry](https://github.com/modelcontextprotocol/servers/tree/main/src/sentry)**: Retrieving and analyzing issues from Sentry.io. ### **Data Query** - **[Neon](https://github.com/neondatabase/mcp-server-neon)**: Interact with the Neon serverless Postgres platform. - **[PostgreSQL](https://github.com/modelcontextprotocol/servers/tree/main/src/postgres)**: Read-only database access with schema inspection. - **[Sqlite](https://github.com/modelcontextprotocol/servers/tree/main/src/sqlite)**: Database interaction and business intelligence capabilities. - **[Axiom](https://github.com/axiomhq/mcp-server-axiom)**: Query and analyze your Axiom logs, traces, and all other event data in natural language. - **[Cloudflare](https://github.com/cloudflare/mcp-server-cloudflare)**: Deploy, configure & interrogate your resources on the Cloudflare developer platform (e.g. Workers/KV/R2/D1). - **[Metoro](https://github.com/metoro-io/metoro-mcp-server)**: Query and interact with kubernetes environments monitored by Metoro. - **[MotherDuck](https://github.com/motherduckdb/mcp-server-motherduck)**: Query and analyze data with MotherDuck and local DuckDB. - **[Neo4j](https://github.com/neo4j-contrib/mcp-neo4j/)**: Neo4j graph database server (schema + read/write-cypher) and separate graph database backed memory. - **[Tinybird](https://github.com/tinybirdco/mcp-tinybird)**: Interact with Tinybird serverless ClickHouse platform. - **[Chroma](https://github.com/privetin/chroma)**: Vector database server for semantic document search and metadata filtering, built on Chroma. - **[MySQL](https://github.com/designcomputer/mysql_mcp_server)**: MySQL database integration in Python with configurable access controls and schema inspection. - **[Data Exploration](https://github.com/reading-plus-ai/mcp-server-data-exploration)**: MCP server for autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort. - **[Dataset Viewer](https://github.com/privetin/dataset-viewer)**: Browse and analyze Hugging Face datasets with features like search, filtering, statistics, and data export. - **[Redis](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_redis)**: MCP server for interacting with Redis, a high-performance in-memory NoSQL key-value database. - **[MongoDB](https://github.com/volcengine/mcp-server/tree/main/server/mcp_server_mongodb)**: A Model Context Protocol Server for MongoDB. - **[MSSQL](https://github.com/RichardHan/mssql_mcp_server)**: MSSQL database integration with configurable access controls and schema inspection. ### **File Management** - **[Excel](https://github.com/negokaz/excel-mcp-server)**: A Model Context Protocol (MCP) server that reads and writes MS Excel data. - **[XMind](https://github.com/apeyroux/mcp-xmind)**: Read and search through your XMind directory containing XMind files. - **[Filesystem](https://github.com/modelcontextprotocol/servers/tree/main/src/filesystem)**: Secure file operations with configurable access controls. - **[Google Drive](https://github.com/modelcontextprotocol/servers/tree/main/src/gdrive)**: File access and search capabilities for Google Drive. - **[Fireproof](https://github.com/fireproof-storage/mcp-database-server)**: Immutable ledger database with live synchronization. - **[Needle](https://github.com/needle-ai/needle-mcp)**: Production-ready RAG out of the box to search and retrieve data from your own documents. - **[Cloudinary](https://github.com/felores/cloudinary-mcp-server)**: Cloudinary Model Context Protocol Server to upload media to Cloudinary and get back the media link and details. - **[Pandoc](https://github.com/vivekVells/mcp-pandoc)**: MCP server for seamless document format conversion using Pandoc. ### **Collaboration and Communication** - **[ChatSum](https://github.com/mcpso/mcp-server-chatsum)**: Query and Summarize chat messages with LLM. - **[Notion](https://github.com/v-3/notion-server)**: Notion MCP integration. Search, Read, Update, and Create pages through Claude chat. - **[ChatMCP](https://github.com/AI-QL/chat-mcp)**: An Open Source Cross-platform GUI Desktop application compatible with Linux, macOS, and Windows, enabling seamless interaction with MCP servers across dynamically selectable LLMs. - **[Google Calendar](https://github.com/v-3/google-calendar)**: Integration with Google Calendar to check schedules, find time, and add/delete events. - **[Slack](https://github.com/modelcontextprotocol/servers/tree/main/src/slack)**: Channel management and messaging capabilities. - **[Google Tasks](https://github.com/zcaceres/gtasks-mcp)**: Google Tasks API Model Context Protocol Server. ### **Finance** - **[coin_api_mcp](https://github.com/longmans/coin_api_mcp)**: Provides access to coinmarketcap cryptocurrency data. ### **Miscellaneous** - **[Time](https://github.com/modelcontextprotocol/servers/tree/main/src/time)**: Time and timezone conversion capabilities. - **[Spotify](https://github.com/varunneal/spotify-mcp)**: This MCP allows an LLM to play and use Spotify. - **[cognee-mcp](https://github.com/topoteretes/cognee/tree/main/cognee-mcp)**: GraphRAG memory server with customizable ingestion, data processing and search. - **[Contentful-mcp](https://github.com/ivo-toby/contentful-mcp)**: Read, update, delete, publish content in your Contentful space(s) from this MCP Server. - **[Home Assistant](https://github.com/tevonsb/homeassistant-mcp)**: Interact with Home Assistant including viewing and controlling lights, switches, sensors, and all other Home Assistant entities. - **[Placid.app](https://github.com/felores/placid-mcp-server)**: Generate image and video creatives using Placid.app templates. - **[Playwright](https://github.com/executeautomation/mcp-playwright)**: This MCP Server will help you run browser automation and webscraping using Playwright. ## MCP Protocol Support - [Typescript MCP SDK](https://github.com/modelcontextprotocol/typescript-sdk) - [Python MCP SDK](https://github.com/modelcontextprotocol/python-sdk) - [MCP intro](https://modelcontextprotocol.io/introduction) ## License volcengine/mcp-server is licensed under the [MIT License](https://github.com/volcengine/mcp-server/blob/main/LICENSE).