Gemini Docs MCP Server
Enables users to search and fetch Google's Gemini API documentation directly within an MCP-compliant environment. It provides structured access to guides and references for features like function calling, embeddings, and text generation.
README
Gemini Docs MCP Server
An MCP (Model Context Protocol) server that provides tools to search and fetch Google's Gemini API documentation.
Features
- Search Documentation: Search through the Gemini API documentation index to find relevant pages
- Fetch Documentation: Fetch and parse specific documentation pages with structured content extraction
Installation
npm install
npm run build
Usage
As an MCP Server (stdio)
node dist/index.js
Configuration for Claude Desktop
Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"gemini-docs": {
"command": "node",
"args": ["/path/to/gemini-docs-mcp/dist/index.js"]
}
}
}
Tools
search_gemini_docs
Search the Gemini API documentation for relevant pages.
Parameters:
query(string, required): Search query (e.g., "function calling", "embeddings")max_results(number, optional): Maximum results to return (1-20, default: 10)response_format(string, optional): Output format - "markdown" or "json" (default: "markdown")
Example:
{
"query": "function calling",
"max_results": 5,
"response_format": "json"
}
fetch_gemini_doc
Fetch and parse a specific Gemini API documentation page.
Parameters:
path(string, required): Documentation path (e.g., "embeddings", "function-calling"). Use empty string for the main overview page.response_format(string, optional): Output format - "markdown" or "json" (default: "markdown")
Common paths:
""- Main overview pagequickstart- Getting started guidefunction-calling- Function calling / tool useembeddings- Text embeddingsstructured-output- JSON structured outputtext-generation- Text generation basicsimage-understanding- Vision / image analysislive- Live API (real-time streaming)api-key- API key setupmodels- Available models
Example:
{
"path": "function-calling",
"response_format": "markdown"
}
Development
# Install dependencies
npm install
# Development mode with auto-reload
npm run dev
# Build
npm run build
# Run tests
npm run test
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