Mco

MCO

Orchestrate AI coding agents. Compare perspectives. Act with confidence.

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MCO is a lightweight, CLI-first orchestration layer for AI coding agents. Give one task to the agents and models you choose, run them in parallel, and compare their raw answers before you act.

Use MCO for code review, implementation, architecture analysis, CI checks, and any workflow where one model's blind spots matter.

It works from a terminal or from another coding agent such as Claude Code, Codex, Cursor, Copilot, Pi, or OpenClaw.
MCO is actively maintained. For a browser workbench with persistent agent identity and a shared task graph, see Hive.

Quick start

Install the CLI and its bundled mco-cli Skill:

Check the agents available on your machine:

Run a read-only multi-agent review:

Run a coding task with workspace write access:

MCO never infers a provider/model team from detected binaries. If neither --providers nor --agent is supplied, a top-level providers config entry is used as the saved default; without one, the team must be selected explicitly. A calling agent should still show and confirm the resolved provider/model team with the user before dispatch.

Why MCO

One agent gives you one perspective. MCO turns selected agents into a review or execution team:

1. Choose — explicitly select the agents for the task.
2. Dispatch — run them in parallel, chain their work, or divide the scope.
3. Compare — retain each invocation's complete raw answer and operational status.
4. Decide — inspect evidence, disagreements, and failures before acting.

MCO keeps answer text opaque. It does not turn natural-language output into findings, severity, confidence, consensus, or an automatic decision.

For explicit review coordination, --perspectives-json adds a…