Resume sessions and run parallel autonomous agents for faster Claude Code workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Agents" yet — see the docs or source repo.
Use MCP Agents to call different subagents from .claude/agents/ and inspect errors in the auth, billing, and api modules in parallel. Fix issues, run tests, and summarize changes and results for each module.
Returns per-module execution results, fix summaries, test status, and a final combined report.
Resume the previously interrupted refactoring task by restoring the earlier session state, checking completed and pending steps, then continue from where it stopped and update the progress summary.
Restores task context, continues execution, and outputs updated progress, remaining work, and current deliverables.
Create a batch of independent subagents: one adds unit tests, one updates the README, and one checks dependency security risks. Run them in parallel and consolidate the results with next-step recommendations.
Produces itemized parallel results, documentation updates, test additions, security findings, and unified recommendations.
Delegate coding tasks to OpenAI subagents with parallel, cheap, verified orchestration.
Wrap Claude Code CLI as MCP tools for headless coding sessions and automation.
Let AI coding tools safely call Codex for development and automation tasks.
Run long background jobs asynchronously and poll results without tool-call timeouts.
Delegate Claude Code subagents to local or external model backends seamlessly.
Query Claude Code transcript analytics for cost, safety, audit, and efficiency insights.