mcp-google-agent-platform-docs

# mcp-google-agent-platform-docs MCP server providing Google AI platform documentation to AI agents. [](https://www.python.org/downloads/) [](https://modelcontextprotocol.io/) [](LICENSE) > Part of [OpenGerwin MCP Servers](https://github.com/OpenGerwin/mcp) ## What is this? An [MCP (Model Context Protocol)](https://modelcontextprotocol.io/) server that gives AI agents direct access to Google's AI platform documentation — both the current **Gemini Enterprise Agent Platform (GEAP)** and the legacy **Vertex AI Generative AI** docs. Instead of hallucinating API details, your AI assistant can look up the actual documentation in real-time. ## Features - 🔍 **Full-text search** across 3400+ documentation pages - 📄 **On-demand fetching** — pages are downloaded and cached as you need them - 🗂️ **Dual source** — current GEAP + legacy Vertex AI documentation - ⚡ **Smart caching** — 72-hour TTL, stale fallback on network errors - 🗺️ **Auto-discovery** — new pages found via sitemap scanning (weekly) - 🧩 **Plug & play** — works with Claude Desktop, Cursor, VS Code, any MCP client ## Quick Start ### Install ```bash # Using pip pip install mcp-google-agent-platform-docs # Using uv (recommended) uv pip install mcp-google-agent-platform-docs ``` ### Configure Claude Desktop Add to your `claude_desktop_config.json`: ```json { "mcpServers": { "google-agent-platform-docs": { "command": "mcp-google-agent-platform-docs" } } } ``` ### Configure Antigravity (Google) 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" ] } } } ``` ### Configure Cursor / VS Code Add to your MCP settings: ```json { "mcpServers": { "google-agent-platform-docs": { "command": "mcp-google-agent-platform-docs", "transport": "stdio" } } } ``` ## Tools ### `search_docs` Search documentation by keywords. ``` search_docs("Memory Bank setup", source="geap") search_docs("function calling", source="vertex-ai") ``` ### `get_doc` Get full content of a specific page. ``` get_doc("scale/memory-bank/setup", source="geap") get_doc("multimodal/function-calling", source="vertex-ai") ``` ### `list_sections` Browse documentation structure. ``` list_sections(source="geap") ``` ### `list_models` Quick reference for all available AI models (Gemini, Imagen, Veo, Claude, etc.). ``` list_models() ``` ## Documentation Sources | Source ID | Platform | Pages | Status | |---|---|---|---| | `geap` | Gemini Enterprise Agent Platform | 2300+ | **Primary** (current) | | `vertex-ai` | Vertex AI Generative AI | 1100+ | Legacy (archive) | ### GEAP Sections - **Agent Studio** — Visual agent builder - **Agents → Build** — Runtime, ADK, Agent Garden, RAG Engine - **Agents → Scale** — Sessions, Memory Bank, Code Execution - **Agents → Govern** — Policies, Agent Gateway, Model Armor - **Agents → Optimize** — Observability, Evaluation, Quality Alerts - **Models** — Gemini, Imagen, Veo, Lyria, Partners, Open Models - **Notebooks** — Jupyter tutorials ## Configuration Environment variables for customization: | Variable | Default | Description | |---|---|---| | `MCP_DOCS_CACHE_DIR` | `~/.cache/mcp-google-agent-platform-docs` | Cache directory | | `MCP_DOCS_CONTENT_TTL` | `72` | Page cache TTL (hours) | | `MCP_DOCS_STRUCTURE_TTL` | `7` | Structure cache TTL (days) | | `MCP_DOCS_DEFAULT_SOURCE` | `geap` | Default documentation source | | `MCP_DOCS_HTTP_TIMEOUT` | `30` | HTTP timeout (seconds) | ## Development ```bash # Clone git clone https://github.com/OpenGerwin/mcp-google-agent-platform-docs.git cd mcp-google-agent-platform-docs # Install dependencies uv sync # Run server locally uv run mcp-google-agent-platform-docs # Test with MCP Inspector uv run mcp dev src/mcp_google_agent_platform_docs/server.py ``` ## Architecture ``` mcp-google-agent-platform-docs/ ├── sources/ # YAML source configurations │ ├── geap.yaml # GEAP (primary) │ └── vertex-ai.yaml # Vertex AI (legacy) ├── src/mcp_google_agent_platform_docs/ │ ├── server.py # FastMCP server + 4 tools │ ├── source.py # Source model (YAML loader) │ ├── fetcher.py # HTML → Markdown converter │ ├── cache.py # TTL cache manager │ ├── discovery.py # Sitemap-based page discovery │ ├── search.py # TF-IDF search engine │ └── config.py # Global configuration └── tests/ ``` ## License MIT — see [LICENSE](LICENSE). --- > Part of [OpenGerwin MCP Servers](https://github.com/OpenGerwin/mcp)