Empower AI coding agents with deep, real-time understanding of your project's unique characteristics, including internal libraries, specific coding patterns, and team conventions. This Model Context Protocol (MCP) server integrates directly with AI assistants like Claude, Cursor, and Copilot, allowing them to instantly access and leverage your codebase's established practices, frequently used components, and even the historical rationale behind key decisions. By providing this tailored context, it significantly enhances the relevance and accuracy of AI-generated code, ensuring alignment with your team's specific architectural guidelines and preventing common mistakes.
Key Features
0121 GitHub stars
02Real-time internal library discovery and usage patterns
03Identification of team-specific coding patterns and canonical examples
04Detection of circular dependencies within the codebase
05A memory system to record and retrieve project-specific decisions and rationale
06Hybrid semantic and keyword search across the codebase
