Gemini Docs MCP Server

An local STDIO MCP server that provides tools to search and retrieve Google Gemini API documentation.

• 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.

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.

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:

pip install git+https://github.com/philschmid/gemini-api-docs-mcp.git

Option 3: Manual Installation (for development)

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

If you installed via pip (Option 2 or 3), run the server using:

gemini-docs-mcp

This will start the MCP server over stdio. It will immediately begin ingesting documentation, which might take a few moments on the first run.

Configuration

The database is stored at ~/.mcp/gemini-api-docs/database.db by default. You can override this by setting the GEMINI_DOCS_DB_PATH environment variable.

Using with an MCP Client

Configure your MCP client to run the gemini-docs-mcp command.

{
  "mcpServers": {
    "gemini-docs": {
      "command": "uvx",
      "args": ["--from", "git+https://github.com/philschmid/gemini-api-docs-mcp", "gemini-docs-mcp"]
    }
  }
}

{
  "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.