Gemini Docs

About

Gemini Docs is a Model Context Protocol (MCP) server designed to seamlessly integrate the official Gemini API documentation into your AI assistant workflows. It enables AI tools like Claude Desktop, Cursor, and Google Antigravity to browse, search, and retrieve information directly from the Gemini API reference, allowing AI assistants to provide more accurate and context-rich responses related to Gemini API usage. Running locally, it offers fast access to documentation, enhancing the capabilities of various MCP-compliant clients.

Key Features

• 2 GitHub stars
• Search capabilities for specific topics, guides, and API references
• Access full Gemini API documentation content within AI chat interfaces
• Easy integration with various CLI tools supporting MCP servers
• Fast and local operation, serving files directly from your machine
• Broad compatibility with popular MCP-compliant clients like Claude, Cursor, and VS Code

Use Cases

• Asking an AI assistant to search the Gemini docs for specific programming concepts like 'structured output'
• Instructing an AI to read documentation sections for Gemini API features like 'models'
• Querying an AI assistant on how to implement specific Gemini API functionalities, such as 'context caching'