MCO
A lightweight, CLI-first orchestration layer that runs a chosen set of AI coding agents and models on the same task in parallel, keeps each answer opaque and separate, and lets a developer compare them before acting.
MCO dispatches one task to the agents and models a developer selects, runs them in parallel, and retains each invocation's complete raw answer and operational status rather than merging them into a single automatic decision. It is meant for code review, implementation, architecture analysis and CI checks where one model's blind spots matter.
It never infers a provider or model team from the binaries it detects on a machine; the team must be selected explicitly, through a --providers flag, a saved configuration default, or a calling agent that confirms the resolved team with the user before dispatch. A --perspectives-json option can give each provider a different prompt focus, and --divide files or --divide dimensions splits a review across files or across review lenses.
It runs from a terminal or from another coding agent such as Claude Code, Codex, Cursor, Copilot, Pi or OpenClaw, and installs its CLI and a bundled Skill with npx @tt-a1i/mco@latest install.