$ loading_
Review git diffs with multiple agents for security, quality, and logic issues.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-multi-agent-code-review" yet — see the docs or source repo.
Run a multi-agent code review on this git diff. Focus on security risks, code quality issues, and logic errors, then return a pass/fail verdict.
A review result for the code diff, including detected issues and a final pass/fail verdict.
Run a multi-agent review on these release-bound code changes. Identify anything that could cause vulnerabilities, quality regressions, or logic faults, and summarize whether they are safe to merge.
Pre-release review feedback with key risks and a recommendation on whether to merge.
Analyze this git diff, prioritizing potential security issues and logic defects, while also noting clear code quality problems. Finish with a pass/fail judgment.
A categorized review outcome by issue type, plus a final pass/fail result.
Developers can use it before opening a merge request to analyze a git diff and catch security, quality, and logic issues early. This helps filter obvious risks before human review.
DevOps or engineering teams can use it as a pipeline check that runs a multi-agent review on code changes and returns a pass/fail result. It is useful for stopping risky changes from moving forward.
When a change touches core logic or sensitive code, teams can use it for a more systematic automated analysis of the diff. It is especially suited to focusing on security, code quality, and logic correctness.
This is an MCP tool that runs a multi-agent code review pipeline. It analyzes git diffs for security, quality, and logic issues, then returns a pass/fail verdict.
Based on the provided description, it primarily analyzes git diffs, meaning code changes. For whether it supports broader repository review, see the source repository.
The provided material only confirms that it is an MCP tool and does not include installation steps, runtime details, or API key requirements. Please see the source repository for exact prerequisites.
Automatically review code changes for bugs, security risks, and style issues.
Analyze local code quality, review diffs, and score whole projects.
Get intelligent, context-aware code reviews and improvement suggestions with MCP.
Automate code reviews with syntax checks, explanations, and improvement suggestions.
Automatically review GitHub PRs with efficient, deep analysis using static checks and LAG.
Runs dual-model code reviews and synthesizes one unified report.