Run multi-model code reviews to surface bugs, security risks, and improvements.
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 following new feature code. Focus on potential bugs, edge cases, maintainability, and best practices. Summarize issues by severity and provide fix recommendations: [Paste code]
A code review report organized by severity, with issue descriptions, risk analysis, and fix recommendations.
Please perform a security review of this code. Focus on input validation, authentication and authorization, sensitive data exposure, injection risks, and dependency usage issues. Provide remediation priorities: [Paste code]
A security review summary listing risk points, impact scope, severity, and prioritized remediation suggestions.
Please review the following code for performance and structural design. Identify inefficient implementations, duplicated logic, wasted resources, and refactoring opportunities, then suggest better approaches: [Paste code]
A list of performance and structural improvement suggestions, including issue locations, root causes, and recommended solutions.
Run multi-model code reviews with pass/fail verdicts to catch quality and risk issues.
Automatically review GitHub PRs with efficient, deep analysis using static checks and LAG.
Automatically review code changes for bugs, security risks, and style issues.
Runs dual-model code reviews and synthesizes one unified report.
Analyze local code quality, review diffs, and score whole projects.
Automate pull request reviews with multi-LLM feedback across GitHub and Bitbucket.