MCP server for code understanding and context generation
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# ⚠️ Platform Support Notice **This MCP server has been tested on macOS and Linux. Windows support is currently unverified (not yet tested).** If you try Windows and encounter issues, please open an issue so we can improve cross-platform support. # Code Understanding MCP Server An MCP (Model Context Protocol) server designed to understand codebases and provide intelligent context to AI coding assistants. This server handles both local and remote GitHub repositories and supports standard MCP-compliant operations. ## 🤖 AI Assistant Installation **Have an AI coding assistant help you install this server!** Copy and paste the contents of our [Setup Assistant Prompt](SETUP_ASSISTANT_PROMPT.md) to your AI assistant (Claude, ChatGPT, Cursor, etc.) and it will guide you through the entire installation process. ## Features - Clone and analyze GitHub repositories or local codebases - Get repository structure and file organization - Identify critical files based on complexity metrics and code structure - Generate detailed repository maps showing: - Function signatures and relationships - Class definitions and hierarchies - Code structure and dependencies - Retrieve and analyze repository documentation - Target analysis to specific files or directories - Keep analysis up-to-date with repository changes via refresh ## Quick Start: MCP Client Configuration ### Prerequisites **Required: `uv` Installation** This server requires `uv`, a modern Python package manager. If you don't already have `uv` installed: ```bash # Install UV (macOS/Linux) curl -sSf https://astral.sh/uv/install.sh | sh # Install UV (Windows PowerShell) irm https://astral.sh/uv/install.ps1 | iex ``` For more installation options, visit the official `uv` installation guide at [astral.sh/uv](https://astral.sh/uv). ### Installation Methods #### Method 1: Direct execution with uvx (Recommended) ```bash # Run directly without installing a global binary uvx code-understanding-mcp-server ``` Th…
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