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Review code, detect bugs, and generate tests and documentation.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "code-review-mcp" yet — see the docs or source repo.
Please review the changes in this feature branch, identify potential bugs, performance issues, and maintainability risks, and rank your suggestions by severity.
A structured code review report with issues, severity levels, and fix recommendations.
Based on this Python module, generate unit tests and edge-case tests for the core functions, and explain what each test covers.
Runnable test code plus explanations of the covered scenarios.
Read this project's source structure and write concise technical documentation for new team members, explaining module responsibilities, key interfaces, and call flows.
A clear technical document that helps readers understand the architecture and onboard quickly.
Analyze local code quality, review diffs, and score whole projects.
Runs dual-model code reviews and synthesizes one unified report.
Audit, refactor, and document codebases in Cursor and Claude.
Scan code for security risks before commits with automated review assistance.
Automatically review GitHub PRs with efficient, deep analysis using static checks and LAG.
Compare AI models, estimate costs, and generate production-ready code in your IDE.