iflow-mcp_elyin_gemini-bridge

# Gemini Bridge       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 - **Simple MCP Tools**: Two core functions for basic queries and file analysis - **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 ## 🚀 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-bridge # Add to Claude Code with uvx (recommended) claude mcp add gemini-bridge -s user -- uvx gemini-bridge ``` **Alternative: From Source** ```bash # Clone the repository git clone https://github.com/shelakh/gemini-bridge.git cd gemini-bridge # Build and install locally uvx --from build pyproject-build pip install dist/*.whl # Add to Clau…