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Add peer review agents to AI coding workflows for review, debugging, and collaboration.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "peer-agents-mcp" yet — see the docs or source repo.
Use peer-agents-mcp to call Grok and Antigravity as peer reviewers for this Python API code. Focus on readability, potential bugs, edge cases, and security risks, then summarize agreements and disagreements.
A consolidated code review report with key issues, improvement suggestions, and a comparison of agent opinions.
I am seeing intermittent timeout errors in a Node.js service. Through peer-agents-mcp, have Grok and Antigravity analyze the logs, infer root causes, propose validation steps, and recommend the highest-priority fix.
A debugging summary with ranked root causes, validation methods, fix recommendations, and next steps.
Use peer-agents-mcp to bring in Grok and Antigravity to plan a new feature: break down tasks, identify technical risks, suggest a testing strategy, and produce an actionable implementation plan.
A structured implementation plan with task breakdowns, risk list, testing suggestions, and execution order.
Orchestrate multi-agent workflows with parallel tasks, pipelines, scheduling, and peer review.
Get intelligent, context-aware code reviews and improvement suggestions with MCP.
Review code diffs for bugs, security risks, and generate fixes.
Request an independent AI code review for plans or diffs.
Review code, suggest refactors, and generate tests with AI assistance.
Get independent code reviews and second opinions from other AI models.