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Connect local coding-agent CLIs for bounded review, verification, and bug-hunting tasks.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "peer-cli-mcp" yet — see the docs or source repo.
Use peer-cli-mcp to call a local Codex or Claude CLI to review the latest commit in the current repository. Focus on readability, potential bugs, edge cases, and security risks, and list issues with severity levels and suggested fixes.
A structured code review report with issue list, severity, rationale, and suggested improvements.
Through peer-cli-mcp, call a local coding agent to verify whether my bug fix addresses the root cause. Compare the logic before and after the fix, identify scenarios that may still fail, and suggest additional tests.
A fix verification summary explaining sufficiency, remaining risks, and recommended additional test cases.
Use peer-cli-mcp to call a local Claude or Codex CLI. Based on the error logs, relevant source code, and reproduction steps, help locate likely causes of this intermittent failure and provide a prioritized investigation plan.
A bug-hunting analysis with likely root causes, supporting clues, and prioritized investigation steps.
Route local coding agent CLIs with validation, capability matching, and retries.
Forward MCP tools to coding agents for session-based development tasks.
Connect OpenAI Codex CLI to MCP clients for headless coding sessions.
Orchestrate a local Claude Code and Codex CLI development workflow.
Enable Claude Code to perform coding tasks through the OpenAI Codex CLI.
Delegate coding tasks to Codex via MCP with security and result checks.