mcp

# 🧩 OpenGerwin MCP Servers Open-source [MCP (Model Context Protocol)](https://modelcontextprotocol.io/) servers that give AI agents superpowers. Each server is a standalone package — install only what you need. --- ## Available Servers | Server | Description | Status | Install | |---|---|---|---| | 🔍 **[Google Agent Platform Docs](https://github.com/OpenGerwin/mcp-google-agent-platform-docs)** | Search & read Google AI platform documentation (GEAP + Vertex AI). 3400+ pages. | ✅ Ready | `pip install mcp-google-agent-platform-docs` | | 🚧 *More coming soon* | Bitrix24, WordPress, and others | Planned | — | --- ## What is MCP? [Model Context Protocol](https://modelcontextprotocol.io/) is an open standard that lets AI assistants (Claude, Cursor, VS Code Copilot, etc.) connect to external tools and data sources. Instead of hallucinating API details, your AI can **look up the real documentation** in real-time. ``` ┌─────────────────┐ MCP ┌──────────────────────┐ │ AI Assistant │◄────────────►│ MCP Server │ │ (Claude, etc.) │ (stdio) │ (your tools + data) │ └─────────────────┘ └──────────────────────┘ ``` ## Quick Start ### 1. Pick a server from the table above ### 2. Install it ```bash pip install mcp-google-agent-platform-docs ``` ### 3. Connect to your AI client <details> <summary><b>Claude Desktop</b></summary> Add to `claude_desktop_config.json`: ```json { "mcpServers": { "google-agent-platform-docs": { "command": "mcp-google-agent-platform-docs" } } } ``` </details> <details> <summary><b>Cursor</b></summary> Add to `.cursor/mcp.json`: ```json { "mcpServers": { "google-agent-platform-docs": { "command": "mcp-google-agent-platform-docs", "transport": "stdio" } } } ``` </details> <details> <summary><b>VS Code</b></summary> Add to `.vscode/mcp.json`: ```json { "mcpServers": { "google-agent-platform-docs": { "command": "mcp-google-agent-platform-docs", "transport": "stdio" } } } ``` </details> <details> <summary><b>Antigravity (Google)</b></summary> Add to `~/.gemini/antigravity/mcp_config.json`: ```json { "mcpServers": { "google-agent-platform-docs": { "command": "uv", "args": [ "--directory", "/path/to/mcp-google-agent-platform-docs", "run", "mcp-google-agent-platform-docs" ] } } } ``` </details> --- ## Server Details ### 🔍 Google Agent Platform Docs > **Repo:** [OpenGerwin/mcp-google-agent-platform-docs](https://github.com/OpenGerwin/mcp-google-agent-platform-docs) > **PyPI:** `pip install mcp-google-agent-platform-docs` MCP server providing real-time access to Google's AI platform documentation: - **Gemini Enterprise Agent Platform (GEAP)** — 2300+ pages (current platform) - **Vertex AI Generative AI** — 1100+ pages (legacy archive) **Tools:** | Tool | Description | |---|---| | `search_docs` | Full-text search across documentation | | `get_doc` | Read any documentation page | | `list_sections` | Browse documentation structure | | `list_models` | Reference of all available AI models | --- ## Contributing We welcome contributions! Whether it's: - 🐛 Bug reports and fixes - ✨ New MCP server ideas - 📖 Documentation improvements Each server has its own repo — please open issues and PRs there. For general questions or ideas about new servers, use [Discussions](https://github.com/OpenGerwin/mcp/discussions) in this repo. ## License All servers are released under the [MIT License](LICENSE). --- <p align="center"> <b>OpenGerwin</b> — Open-source tools for AI agents </p>