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Gemini Bridge

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Bridges AI coding assistants to Google's Gemini AI using the official CLI for cost-effective, direct model interaction.

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Gemini Bridge is a lightweight MCP (Model Context Protocol) server designed to connect various AI coding assistants, such as Claude Code, Cursor, and VS Code, with Google's Gemini AI. By leveraging the official Gemini CLI, it provides a cost-free and direct integration, enabling AI agents to perform queries and file analysis. Its stateless design, minimal dependencies, and robust error handling ensure simplicity, reliability, and seamless integration across any MCP-compatible client, making it an efficient solution for AI-powered development workflows.

Características Principales

  • Direct Gemini CLI Integration for zero API costs
  • Production Ready with robust error handling and configurable timeouts
  • Minimal Dependencies requiring only `mcp` and Gemini CLI
  • Universal MCP Compatibility supporting any MCP-compatible AI coding assistant
  • 26 GitHub stars
  • Stateless Operation without sessions, caching, or complex state management

Casos de Uso

  • Ask general questions to Gemini AI about a codebase or project
  • Analyze specific files within a project for security issues or improvements
  • Compare multiple implementation files to recommend the best approach