MCP server for AI-assisted development
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# Code Expert MCP Server An MCP (Model Context Protocol) server designed to understand codebases and provide intelligent context to AI coding assistants. This server handles local directories, GitHub repositories, and Azure DevOps repositories, supporting standard MCP-compliant operations. ## Features - Clone and analyze GitHub repositories, Azure DevOps 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 - **Auto-refresh system**: Intelligent repository synchronization that: - Automatically refreshes active repositories every 24 hours - Refreshes inactive repositories every 7 days - Adapts to repository activity patterns - Provides error handling and recovery mechanisms - Offers configurable scheduling and resource management ## 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) ipow 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: Tool Installation (Recommended) For the most reliable isolated installation: ```bash # Install the MCP server as a tool uv tool install code-expert-mcp ``` #### Method 2: Direct Execution with uvx (Fallback) ⚠️ **Warning**: This method may encounter dependency conflicts with other Python packages …
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