Gemini Docs MCP Server

# Gemini Docs MCP Server A remote HTTP MCP server that provides tools to search and retrieve Google Gemini API documentation. The server exposes the MCP protocol at the `/mcp` endpoint and can be deployed to Cloud Run or other containerized platforms. It also supports local stdio mode for development. <a href="https://glama.ai/mcp/servers/@philschmid/gemini-api-docs-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@philschmid/gemini-api-docs-mcp/badge" alt="Gemini Docs Server MCP server" /> </a> - **Search Documentation**: Full-text search across all Gemini documentation pages. - **Get Capabilities**: List available documentation pages or retrieve content for a specific page. - **Get Current Model**: Quickly access documentation for current Gemini models. - **Automatic Updates**: Scrapes and updates documentation on server startup. ```mermaid sequenceDiagram participant Client as MCP Client / IDE participant Server as FastMCP Server participant DB as SQLite Database Client->>Server: call_tool("search_documentation", queries=["embeddings"]) Server->>DB: Full-Text Search for "embeddings" DB-->>Server: Return matching documentation Server-->>Client: Return formatted results ``` ## How it Works 1. **Ingestion**: On startup, the server fetches `https://ai.google.dev/gemini-api/docs/llms.txt` to get a list of all available documentation pages. 2. **Processing**: It then concurrently fetches and processes each page, extracting the text content. 3. **Indexing**: The processed content is stored in a local SQLite database with a Full-Text Search (FTS5) index for efficient querying. 4. **Searching**: When you use the `search_documentation` tool, the server queries this SQLite database to find the most relevant documentation pages. ## Installation ### Option 1: Use `uvx` (Recommended) You can use `uvx` to run the server directly without explicit installation. This is the easiest way to get started. ```bash uvx --from git+https://github.com/philschmid/gemini-api-docs-mcp gemini-docs-mcp ``` ### Option 2: Install directly from GitHub You can install the package directly from GitHub using `pip`: ```bash pip install git+https://github.com/philschmid/gemini-api-docs-mcp.git ``` ### Option 3: Manual Installation (for development) ```bash git clone https://github.com/philschmid/gemini-api-docs-mcp.git cd gemini-api-docs-mcp pip install -e . cd .. rm -rf gemini-api-docs-mcp ``` ## Usage ### Running as a Remote HTTP Server The server runs as an HTTP server and exposes the MCP protocol at the `/mcp` endpoint. It respects the `PORT` environment variable (defaults to 8080). ```bash # Set port (optional, defaults to 8080) export PORT=8080 # Run the server gemini-docs-mcp ``` The server will be accessible at `http://localhost:8080/mcp` (or your configured port). ### Docker Deployment Build and run the Docker container: ```bash # Build the image docker build -t gemini-docs-mcp . # Run the container docker run -p 8080:8080 gemini-docs-mcp ``` ### Cloud Run Deployment Deploy to Google Cloud Run: ```bash # Build and deploy gcloud run deploy gemini-docs-mcp \ --source . \ --platform managed \ --region us-central1 \ --allow-unauthenticated ``` The server will be accessible at `https://<your-service-url>/mcp`. ### Running in Stdio Mode (Local) If you don't set the `PORT` environment variable, the server runs in stdio mode for local MCP clients: ```bash # Don't set PORT - runs in stdio mode gemini-docs-mcp ``` ### Configuration The database is stored at: - `/tmp/gemini-api-docs/database.db` in containerized environments - `~/.mcp/gemini-api-docs/database.db` in local environments You can override this by setting the `GEMINI_DOCS_DB_PATH` environment variable. ### Using with an MCP Client For remote HTTP servers, configure your MCP client to connect via HTTP: ```json { "mcpServers": { "gemini-docs": { "url": "https://<your-service-url>/mcp" } } } ``` For local development with stdio (if supported by your client): ```json { "mcpServers": { "gemini-docs": { "command": "gemini-docs-mcp" } } } ``` ## Tools - `search_documentation(queries: list[str])`: Performs a full-text search on Gemini documentation for the given list of queries (max 3). - `get_capability_page(capability: str = None)`: Get a list of capabilities or content for a specific one. - `get_current_model()`: Get documentation for current Gemini models. ## License MIT ## Test Results We run a comprehensive evaluation harness to ensure the MCP server provides accurate and up-to-date code examples. The tests cover both Python and TypeScript SDKs. | Metric | Value | | :--- | :--- | | Total Tests | 117 | | Passed | 114 | | Failed | 3 | *Last updated: 2025-11-03 13:29:01* You can find the detailed test results in `tests/result.json`.