MCO
MCO — Orchestrate AI Coding Agents. Any Prompt. Any Agent. Any IDE.
MCO equips your primary agent with an agent team: dispatch Claude, Codex, Gemini, OpenCode, and Qwen in parallel to execute tasks, review outputs, and synthesize consensus.
Community-submitted MCP client. Visit the website for installation details.
Official website
mco.io
MCO (Multi-CLI Orchestrator) is a neutral orchestration layer for AI coding agents. It dispatches prompts to multiple agent CLIs in parallel, aggregates results, and returns structured output — JSON, SARIF, or PR-ready Markdown. No vendor lock-in. No workflow rewrite.
With the rise of agentic coding — led by projects like OpenClaw and the broad availability of Claude Code, Codex CLI, Gemini CLI, and more — every developer now has access to powerful AI agents. MCO takes the next step: instead of relying on a single agent, you orchestrate a team.
MCO is designed to be called by any orchestrating agent or AI-powered IDE — Claude Code, Cursor, Trae, Copilot, Windsurf, or OpenClaw. The calling agent organizes context, assigns tasks, and uses MCO to fan out work across multiple agents simultaneously. For example, OpenClaw running on your machine can call mco review to dispatch code reviews to Claude, Codex, and Gemini in parallel — turning your local setup into a multi-agent review team with a single command. Agents can also orchestrate each other: Claude Code can dispatch tasks to Codex and Gemini via MCO, and vice versa.
Use cases
PR code review
Security scan in CI
Architecture analysis
Features
Parallel fan-out — dispatch to multiple agents simultaneously, wait-all semantics
Any IDE, any agent — works from Claude Code, Cursor, Trae, Copilot, Windsurf, or plain shell
Frequently asked questions
Q.What's New in v0.9?
Debate round — --debate asks providers to challenge or refine merged findings before the final output.
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