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. English | 简体中文 Claude Code Gemini CLI Codex CLI OpenCode Qwen Code OpenClaw 🦞 claude gemini codex opencode qwen openclaw AI coding agents are now standard tools for every developer. But one agent is just one perspective. Work like a Tech Lead: assign one task to multiple agents, run in parallel, and compare outcomes before acting. One command.
| Stars | 494 |
| Forks | 55 |
| Language | Python |
| Category | Codex 技能 |
| License | MIT |
| Quality Score | 62.0357570171753/100 |
| Last Updated | 2026-08-14 |
| Created | 2026-02-26 |
| Platforms | claude-code, cli, codex, gemini, python |
| Est. Tokens | ~18k |
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mco is CLI-first orchestration for AI coding agents: run selected agents and models in parallel, compare raw answers, and coordinate review or implementation workflows.. It is categorized as a Codex 技能 with 494 GitHub stars.
mco is primarily written in Python. It covers topics such as ai-agents, ai-ide, claude.
You can find installation instructions and usage details in the mco GitHub repository at github.com/mco-org/mco. The project has 494 stars and 55 forks, indicating an active community.
mco is released under the MIT license, making it free to use and modify according to the license terms.