Docker Mcp Server — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Docker Mcp Server (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
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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.
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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.
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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.
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 |
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.
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 failsIf 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.
Real data from building and running this server:
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.
MIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.