Lightweight MCP server bridging Claude Code to Google's Gemini AI via official CLI
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# Gemini MCP Bridge       > **Forked from [eLyiN/gemini-bridge](https://github.com/eLyiN/gemini-bridge)** - This is a customized fork of the original Gemini Bridge project, rebranded as "Gemini MCP Bridge" for distinct package identity. A lightweight MCP (Model Context Protocol) server that enables AI coding assistants to interact with Google's Gemini AI through the official CLI. Works with Claude Code, Cursor, VS Code, and other MCP-compatible clients. Designed for simplicity, reliability, and seamless integration. ## ✨ Features - **Direct Gemini CLI Integration**: Zero API costs using official Gemini CLI - **Three MCP Tools**: Basic queries, file analysis, and web search capabilities - **Stateless Operation**: No sessions, caching, or complex state management - **Production Ready**: Robust error handling with configurable 60-second timeouts - **Minimal Dependencies**: Only requires `mcp>=1.0.0` and Gemini CLI - **Easy Deployment**: Support for both uvx and traditional pip installation - **Universal MCP Compatibility**: Works with any MCP-compatible AI coding assistant - **Modern Python**: Uses pathlib and modern type hints (Python 3.10+) ## 🚀 Quick Start ### Prerequisites 1. **Install Gemini CLI**: ```bash npm install -g @google/gemini-cli ``` 2. **Authenticate with Gemini**: ```bash gemini auth login ``` 3. **Verify installation**: ```bash gemini --version ``` ### Installation **🎯 Recommended: PyPI Installation** ```bash # Install from PyPI pip install gemini-mcp-bridge # Add to Claude Code with uvx (…
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