Mcp-Server-Demo
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GitHub Code Review MCP is a service that enables AI-powered code reviews of GitHub repositories using Claude.
The GitHub Code Review MCP service provides a comprehensive suite of tools for conducting AI-powered code reviews on GitHub repositories. Users can submit repositories for review, receive detailed feedback and suggestions, and focus on specific areas such as security, performance, and best practices. The service also allows users to track review history and access previous reviews, making it a valuable tool for developers looking to improve their code quality and maintainability.
Features
- Repository Analysis: Analyze GitHub repositories by simply providing the URL
- Focused Reviews: Specify areas to focus the code review on
- Improvement Suggestions: Get specific suggestions for improving the codebase
- File-Level Analysis: Get detailed feedback for specific files
- Security Scanning: Identify security vulnerabilities and get remediation advice
Tools
review_repository
Review a GitHub repository by providing the URL. You can optionally specify areas to focus on (e.g., 'security, performance, best practices').
list_reviewed_repos
List all repositories that have been reviewed, including review dates and focus areas.
get_review_details
Get detailed review results for a specific repository using its key in the format 'owner/repo'.
suggest_improvements
Get specific improvement suggestions for an entire repository or a specific file.
analyze_dependencies
Analyze repository dependencies to identify outdated packages, potential vulnerabilities, and provide recommendations.
scan_security_vulnerabilities
Scan a repository for security vulnerabilities and provide remediation steps.
analyze_code_quality
Get code quality metrics including complexity, duplication, and maintainability scores.
analyze_performance
Identify performance bottlenecks and get optimization suggestions.
compare_with_best_practices
Compare code against industry best practices, with optional framework-specific comparisons.
generate_pull_request_description
Generate a comprehensive pull request description based on code review results.
generate_cascade_prompt
Create a Cascade-specific prompt that can be used to implement the suggested improvements.
generate_improved_code
Generate improved code for a specific file based on the review results.
