Codebase Context

概要

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.

主な機能

• 21 GitHub stars
• Real-time internal library discovery and usage patterns
• Identification of team-specific coding patterns and canonical examples
• Detection of circular dependencies within the codebase
• A memory system to record and retrieve project-specific decisions and rationale
• Hybrid semantic and keyword search across the codebase

ユースケース

• Enhancing AI's ability to utilize internal libraries and frameworks correctly.
• Guiding AI coding agents to adhere to project-specific coding patterns and conventions.
• Documenting team decisions and rationale to prevent AI agents from repeating past mistakes.