Github Review MCP
The GitHub MCP server provides AI-assisted tools such as code review, PR analysis, and security detection, and supports local and Docker deployment.
rating : 2.5 points
downloads : 0
What is the GitHub MCP Server?
The GitHub MCP Server is a GitHub code review tool server specifically designed for AI assistants. Through the Model Context Protocol (MCP) standard, it provides various AI assistants with advanced functions such as accessing GitHub code repositories, analyzing code quality, and detecting security issues, enabling AI to conduct code reviews like professional developers.How to use the GitHub MCP Server?
The usage process is very simple: First, configure the GitHub access token, then add the server configuration in a supported MCP client (such as Cursor IDE), and the AI assistant can start using various code review tools to analyze the code on GitHub.Applicable scenarios
It is suitable for development teams to conduct automated code reviews, individual developers who need AI-assisted code analysis, educational scenarios for learning code quality assessment, and projects that require large-scale code repository quality monitoring.Main Features
Intelligent Code Review
Provide professional code review tips and suggestions to help AI assistants conduct comprehensive code quality assessments.
Security Vulnerability Detection
Automatically detect security issues and potential vulnerabilities in the code and provide repair suggestions.
Code Quality Analysis
Conduct in-depth analysis of code quality, including aspects such as code specifications, performance issues, and maintainability.
Dependency Analysis
Check the project's dependencies and identify outdated or security-risky dependency packages.
Test Coverage Analysis
Analyze the code's test coverage to help improve the test strategy.
Multi-platform Support
Support multiple deployment methods such as local operation and Docker containerized deployment.
Advantages
🤖 Provide professional GitHub code review capabilities for AI assistants
⚡ Support multiple code analysis and quality detection tools
🐳 Provide Docker containerized deployment for easy deployment
🔧 Rich configuration options that can be adjusted according to requirements
📊 Provide detailed code quality reports and suggestions
Limitations
An effective GitHub access token is required for use
There are limitations in processing large files and large-scale PRs
A client that supports the MCP protocol is required to connect
Advanced functions may require certain configuration knowledge
How to Use
Get a GitHub Access Token
Generate a Personal Access Token in GitHub settings, which requires repo permissions.
Install and Configure the Server
Clone the project, install dependencies, and configure environment variables.
Start the Server
Run the server, which listens on port 3000 by default.
Configure the MCP Client
Add the server configuration in a supported MCP client.
Usage Examples
New Feature Code Review
When developers submit new feature code on GitHub, use an AI assistant to conduct a preliminary code review.
Security Vulnerability Scanning
Conduct a security vulnerability scan before code merging to prevent the introduction of security issues.
Code Quality Improvement
Conduct a quality analysis of the existing code repository to find areas that need improvement.
Frequently Asked Questions
What kind of GitHub permissions are required?
Which MCP clients are supported?
How to handle the review of large files?
What are the advantages of Docker deployment?
Related Resources
GitHub Documentation
Official GitHub documentation to understand API usage and permission configuration.
MCP Protocol Specification
Official specification documentation for the Model Context Protocol.
Cursor IDE
A modern code editor that supports MCP.
Docker Documentation
Documentation related to Docker containerized deployment.

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