Mcp-Server-Demo
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GitHub Code Review MCP is a server that uses the Model Context Protocol to enable AI-powered code reviews of GitHub repositories. It provides a range of tools to analyze code quality, security, dependencies, and performance while enabling focused reviews and improvement suggestions.
GitHub Code Review MCP
A Model Context Protocol (MCP) server facilitating AI-driven code reviews for GitHub repositories. The service offers tools for submitting repositories, receiving detailed feedback, focusing on specific review areas, tracking review history, and accessing previous reviews.
Features
- Analyze GitHub repositories via URLs
- Provide focused code reviews on security, performance, and best practices
- Suggest improvements and offer file-level analysis
- Identify and remediate security vulnerabilities
- Assess project dependencies for outdated packages
- Measure code quality, including complexity and maintainability
- Identify performance bottlenecks
- Compare code with industry best practices
- Generate comprehensive pull request descriptions
Installation
- Requires Python 3.12+, MCP 1.6.0+
- Clone repo, set up a virtual environment, and install dependencies
- Optionally set up a GitHub API token to avoid rate limiting
Usage
- Start the MCP server with:
- Use Claude to interact and review repositories, focus on specific areas, and get improvement suggestions.