An MCP server that connects Gemini 2.5 Pro to Claude Code, enabling users to generate detailed implementation plans based on their codebase and receive feedback on code changes.
An MCP server that reviews code with the sarcastic and cynical tone of a grumpy senior developer, helping identify issues in PRs and providing feedback on code quality.
An MCP server that analyzes Python codebases using AST, stores code elements in a vector database, and enables natural language queries about code structure and functionality using RAG with Google's Gemini models.
The ultimate Gemini API interface for MCP hosts, intelligently selecting models for the task at hand—delivering optimal performance, minimal token cost, and seamless integration.
An MCP server that analyzes codebases and generates contextual prompts, making it easier for AI assistants to understand and work with code repositories.