by cmdaltctr
Lightweight MCP integration bringing Google's Gemini AI capabilities to Claude Code with 1M+ token context window, smart model selection, and powerful code analysis tools
# Add to your Claude Code skills
git clone https://github.com/cmdaltctr/claude-gemini-mcp-slim
🚀 What's Coming Next: I'm building an AI Agent Feedback Loop System that enables intelligent collaboration between Claude Code and Gemini AI. This will create a continuous improvement cycle where both AI agents learn from each other's suggestions, creating smarter code analysis and more contextual development assistance. Starting with Claude Code, then expanding to other IDEs. Stay tuned!
A lightweight integration that brings Google's Gemini AI capabilities to Claude Code through MCP (Model Context Protocol)
This project connects Claude Code (your coding assistant) with Google's Gemini AI models. Think of it as adding a second AI expert to your development team - one that can read and understand massive amounts of code at once (1M+ tokens, which is like reading hundreds of code files simultaneously).
With this integration, you can ask Gemini questions about your code, get security reviews, performance suggestions, and architectural advice - all without leaving your coding environment. It automatically chooses the right AI model for each task: fast responses for quick questions, deeper analysis for complex problems.