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Manage and orchestrate Docker environments remotely with natural language commands.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-docker-server" yet — see the docs or source repo.
Show all running and stopped containers in the current Docker environment, and organize them into a list by name, status, and ports.
A container list with runtime status, port mappings, and a basic environment overview.
Start an nginx service with Docker, map it to local port 8080, and verify that the container is running successfully.
The tool creates and starts the container, then returns its status and access port details.
Investigate why the container named api-server keeps exiting, review recent logs, and suggest likely causes and fixes.
A log summary, root-cause analysis, and actionable troubleshooting recommendations.
Let LLM clients manage and monitor Docker containers on the host.
Let AI manage Docker containers, images, and Compose services via MCP.
Manage Docker resources, logs, and self-healing workflows through one MCP interface.
Manage Docker-backed lightweight VM lifecycles through natural language commands.
Manage Docker containers, servers, stacks, and deployments through AI via MCP.
Generate and optimize Docker configs to streamline container development and deployment.