Codync
免费开源的 1:1 Grok Bot 与 Muse 替代方案。可在 iPhone、Mac 或 Linux 桌面上将 Claude 代码、Codex、Cursor 以及 40 多个编码代理作为持久机器人使用。支持群组聊天、线程、应用。
AI 翻译
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Docker for AI agents: a complete set of tools, with modes chosen at startup (read, lab, full)
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查看完整 README ↗Your AI agent works Docker for you: containers, images, Compose and practice labs. A complete set of tools, with modes chosen at startup: only read, only safe labs, or everything.
📖 Documentation · 📖 Documentación en español
docker-mcp is an MCP server that lets an AI agent (Claude Code, Codex, an agent built on agent-kit) work the Docker on your computer: run and inspect containers, build and pull images, manage volumes and networks, start Compose projects, clean up, and run practice labs that check themselves. You choose how far it can go when it starts: read only looks, lab only runs labs under a safety policy, and full does everything Docker does, asking before anything dangerous. It drives Docker's own command line, so it works wherever Docker does.
read it can't change anything, in lab it can't run anything but labs.compose.yaml and a check: no internet, no host mounts, limits on CPU and memory, refused if it breaks the rules, reset in one call.npx, for agent-kit, Claude Code and Codex alike.You need Node.js 20 or later and Docker 24 or later, running.
# Claude Code (full mode)
claude mcp add docker -- npx -y @falkenslab/docker-mcp
# Only labs, with the practices in a folder of your own
claude mcp add docker -e DOCKER_MCP_MODE=lab -e DOCKER_MCP_LABS_DIR=/path/to/labs -- npx -y @falkenslab/docker-mcp
In Codex, codex mcp add docker -- npx -y @falkenslab/docker-mcp. To write it in .mcp.json or Codex's config.toml, with every setting, see Configuration. In an agent built on agent-kit, or with its skills in Claude Code and Codex, install the docker-lab extension from agent-extensions, which runs this server at a fixed version. Then ask: "What containers are running?"
| Area | Tools |
|---|---|
| 📦 Containers | list_containers, inspect_container, container_logs, container_stats, container_processes, run_container, start_container, stop_container, restart_container, remove_container, exec_in_container, copy_to_container, copy_from_container |
| 🖼️ Images | list_images, inspect_image, pull_image, build_image, tag_image, push_image, remove_image |
| 💾 Volumes and networks | list_volumes, inspect_volume, create_volume, remove_volume, and the same for networks |
| 🧩 Compose | compose_ps, compose_logs, compose_build, compose_up, compose_down, compose_exec |
| ⚙️ System | docker_info, disk_usage, prune |
| 🧪 Labs | list_labs, lab_status, lab_logs, lab_up, lab_exec, lab_check, lab_reset, lab_down |
| 🔌 Server | server_info, check_requirements |
Every tool, with what each mode keeps: the tools reference.
.mcp.json for Claude Code and config.toml for Codex, or their command lines, with every setting.read, lab and full, the areas, and the labs' policy.npm install, then npm run build, npm test and npm run check before every commit; CLAUDE.md lists every command and .minispec/ the decisions behind them (the modes are ADR-005, the labs' policy ADR-006). Releases are published to npm by the owner.
Made with 💖 by Falken's Lab Team