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Manage Docker resources, logs, and self-healing workflows through one MCP interface.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "docker-mcp-server" yet — see the docs or source repo.
Check the current Docker container status, identify any unhealthy or stopped containers, inspect the last 200 log lines, and summarize likely causes with fix recommendations.
A list of problematic containers, key log excerpts, root-cause analysis, and actionable fix recommendations.
Launch this project's service stack with Docker Compose, verify all services start successfully, run health checks, and report each service's status and access method.
Deployment results, service statuses, health check outcomes, and access endpoint details.
Check whether any critical containers have exited unexpectedly; if so, restart them, verify recovery, and explain the status changes before and after restart.
A recovery action log, recovery results, and any remaining risks that still need manual attention.
Let AI manage Docker containers, images, and Compose services via MCP.
Let LLM clients manage and monitor Docker containers on the host.
Inspect containers, images, and configs to speed up Docker troubleshooting.
Manage Docker containers, servers, stacks, and deployments through AI via MCP.
Let AI agents manage, build, and diagnose Linux containers on macOS.
Manage and orchestrate Docker environments remotely with natural language commands.