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Let LLM clients manage and monitor Docker containers on the host.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Docker Container Manager MCP Server" yet — see the docs or source repo.
List all Docker containers on the current host and show the status of each container.
A list of containers with status details such as running or stopped.
Inspect the Docker container named web-app and summarize its current details.
Inspection results and a summary of the container’s key details.
Start the Docker container named redis-cache and monitor its runtime status.
The container is started, followed by status or monitoring information.
Developers or DevOps engineers can use an MCP-enabled AI client to list, start, or stop Docker containers on the host, reducing manual command-line work.
When services behave unexpectedly or the environment status is unclear, users can ask the AI to inspect and monitor containers to quickly see what is running or stopped.
This tool can act as an MCP server that gives any compatible LLM client basic control and visibility over Docker containers.
It is an MCP server that enables LLM clients to list, inspect, start, stop, and monitor Docker containers on the host machine.
Based on the description, it works with Docker containers on the host machine, so it should depend on a Docker environment. For other installation and runtime prerequisites, see the source repository.
Its key difference is that it exposes container management capabilities to MCP-compatible LLM clients, so users can perform these actions through AI interactions. For implementation details, see the source repository.
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