An MCP server for managing Docker with natural language!
- 🚀 Compose containers with natural language
- 🔍 Introspect & debug running containers
- 📀 Manage persistent data with Docker volumes
- Server administrators: connect to remote Docker engines for e.g. managing a public-facing website.
- Tinkerers: spin up containers locally, without running a single command yourself.
- Ensure you have
uv
installed (see the docs for details) - Clone this repository
On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
Development/Unpublished Servers Configuration
"mcpServers": {
"mcp-server-docker": {
"command": "uv",
"args": [
"--directory",
"/path/to/repo",
"run",
"mcp-server-docker"
]
}
}
Use natural language to compose containers.
Provide a Project Name, and a description of desired containers, and let the LLM do the rest.
This prompt instructs the LLM to enter a plan+apply
loop. Your interaction
with the LLM will involve the following steps:
- You give the LLM instructions for which containers to bring up
- The LLM calculates a concise natural language plan and presents it to you
- You either:
- Apply the plan
- Provide the LLM feedback, and the LLM recalculates the plan
- name:
nginx
, containers: "deploy an nginx container exposing it on port 9000" - name:
wordpress
, containers: "deploy a WordPress container and a supporting MySQL container, exposing Wordpress on port 9000"
When starting a new chat with this prompt, the LLM will receive the status of
any containers, volumes, and networks created with the given project name
.
This is mainly useful for cleaning up, in-case you lose a chat that was responsible for many containers.
The server implements a couple resources for every container:
- Stats: CPU, memory, etc. for a container
- Logs: tail some logs from a container
list_containers
create_container
run_container
recreate_container
start_container
fetch_container_logs
stop_container
remove_container
list_images
pull_image
push_image
build_image
remove_image
list_networks
create_network
remove_network
list_volumes
create_volume
remove_volume
DO NOT CONFIGURE CONTAINERS WITH SENSITIVE DATA. This includes API keys, database passwords, etc.
Any sensitive data exchanged with the LLM is inherently compromised, unless the LLM is running on your local machine.
If you are interested in securely passing secrets to containers, file an issue on this repository with your use-case.
Be careful to review the containers that the LLM creates. Docker is not a secure sandbox, and therefore the MCP server can potentially impact the host machine through Docker.
For safety reasons, this MCP server doesn't support sensitive Docker options
like --privileged
or --cap-add/--cap-drop
. If these features are of interest
to you, file an issue on this repository with your use-case.
This server uses the Python Docker SDK's from_env
method. For configuration
details, see
the documentation.
Prefer using Devbox to configure your development environment.
See the devbox.json
for helpful development commands.