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Control a local Docker daemon with natural language through MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "dockhand" yet — see the docs or source repo.
List the running containers on my local Docker daemon, then stop the container named api.
Returns the container list and stops the specified container.
Show the images available locally, then delete a volume I no longer need.
Shows image information and deletes the selected volume.
Use Docker Compose to start the service stack in the current directory and check its status.
Starts the Compose services and returns their status.
Developers or DevOps users can use natural language for common container operations like starting, stopping, and checking status. It is useful for quick local Docker tasks.
When you need to manage local Docker images, volumes, or networks, you can ask the AI to do it directly. It helps reduce context switching in the terminal.
For projects using Docker Compose, you can start, inspect, or maintain the service stack through natural language. It is useful for quickly handling a local dev environment.
dockhand is an MCP server that lets LLMs directly control a local Docker daemon. It supports managing containers, images, volumes, networks, and Compose stacks through natural language.
Based on the provided information, it requires access to a local Docker daemon. Other installation or runtime requirements are not provided; see the source repository.
Its focus is not manual command entry, but letting an LLM execute Docker operations on your behalf using natural language. Implementation details are not provided; see the source repository.
Let AI manage Docker containers, images, and Compose services via MCP.
Let LLM clients manage and monitor Docker containers on the host.
Generate and optimize Docker configs to streamline container development and deployment.
Manage and orchestrate Docker environments remotely with natural language commands.
Manage Docker resources, logs, and self-healing workflows through one MCP interface.
Manage Docker resources through the Docker SDK and CLI.