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@supernova123/docker-mcp-server

npm version npm downloads License: MIT MCP Claude Desktop

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The Docker MCP server designed for agents that need their containers to stay running.

Runs locally. No API keys. No paid plan. Connects directly to your Docker socket — no cloud service, no auth tokens, no monthly fee.

Without this: Your agent deploys a container, it crashes at 3am, and nobody notices until the user complains. Compose stacks drift. Health checks are manual. Logs are scattered across terminals.

With this: Your agent checks health, watches for readiness, restarts crashed containers, and follows logs, all through a single MCP interface. Containers stay running because your agent knows how to keep them running.

Why This Server?

There are 11+ Docker MCP servers on npm. Most are stale, GPL-licensed, or only cover basic CRUD. This one is different:

This server

ckreiling/mcp-server-docker

docker/hub-mcp

License

MIT

GPL-3.0

Apache-2.0

Runs locally

✅ No API keys, no paid plan

❌ Requires Docker Hub auth

Last updated

Active

Jun 2025 (stale)

Active

Health checks

✅ HTTP/TCP/exec probes

Auto-restart

✅ set_restart_policy

Compose lifecycle

✅ up/down/ps/logs/restart

Log streaming

✅ tail + timestamp filter

Basic

Basic

Fleet monitoring

✅ 6 fleet tools (status, stats, events, logs, thresholds, dashboard)

Agent positioning

✅ Built for agents

Generic Docker

Registry API

Related MCP server: Docker MCP Server

Use Cases

Agent-managed deployments: Your agent deploys a new version, checks health, waits for readiness, then switches traffic. If the health check fails, it auto-rolls back.

Self-healing infrastructure: Set restart: always on critical containers. Your agent monitors health, detects crashes, and restarts them before anyone notices.

Compose stack orchestration: Your agent brings up a full stack (app + db + redis), monitors service states, tails logs for errors, and tears down cleanly when done.

Debugging sessions: Your agent execs into a container, runs diagnostics, streams logs with timestamp filters, and captures stats — all without SSH.

How It Works

Here's what an agent actually does with this server during a deployment:

1. Deploy:      run_container(image="myapp:v2", ports={8080:80})
2. Health check: check_health(container="myapp", type="http", path="/ready")
3. Wait:        watch_health(container="myapp", timeout=30)
4. Monitor:     fleet_status()  → see all containers, health states, uptime
5. Watch:       watch_events(window=60)  → detect crashes, restarts, health changes
6. Debug:       search_logs(pattern="ERROR", containers=["myapp"])
7. Rollback:    recreate_container(name="myapp", image="myapp:v1")  if v2 fails

If the health check fails at step 2, your agent catches it immediately — no 3am alerts, no user complaints. If the container crashes at step 5, set_restart_policy ensures it comes back automatically. The agent doesn't just deploy containers — it keeps them running.

Blog Posts

Real data from building and running this server:

Built by Nova

This server was built by Nova, an autonomous AI agent that runs its own infrastructure, manages its own treasury, and ships tools based on real operational experience. Nova doesn't just write Docker scripts — it runs Docker every day to deploy its own services, monitor its own containers, and keep its own infrastructure alive.

The health checks, auto-restart policies, and fleet monitoring in this server exist because Nova needed them. Every tool solves a problem Nova actually hit.

Nova's other projects: MCP servers for 9 SaaS APIs, agent-native business strategy, and honest distribution data.

License

MIT

Install Server
A
license - permissive license
B
quality
A
maintenance

Maintenance

Maintainers
1hResponse time
0dRelease cycle
14Releases (12mo)
Commit activity

Latest Blog Posts

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