๐ Docker MCP server
An MCP server for managing Docker with natural language!
๐ชฉ What can it do?
- ๐ Compose containers with natural language
- ๐ Introspect & debug running containers
- ๐ Manage persistent data with Docker volumes
โ Who is this for?
- Server administrators: connect to remote Docker engines for e.g. managing apublic-facing website.
- Tinkerers: spin up containers locally, without running a single commandyourself.
๐๏ธ Quickstart
Prerequisites
- Ensure you have
uv
installed (seethe docs fordetails) - Clone this repository
Install
Claude Desktop
On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
"mcpServers": {
"mcp-server-docker": {
"command": "uv",
"args": [
"--directory",
"/path/to/repo",
"run",
"mcp-server-docker"
]
}
}
๐ Prompts
๐ป docker_compose
Use natural language to compose containers.
Provide a Project Name, and a description of desired containers, and let the LLMdo the rest.
This prompt instructs the LLM to enter a plan+apply
loop. Your interactionwith 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
Examples
- name:
nginx
, containers: "deploy an nginx container exposing it on port9000" - name:
wordpress
, containers: "deploy a WordPress container and a supportingMySQL container, exposing Wordpress on port 9000"
Resuming a Project
When starting a new chat with this prompt, the LLM will receive the status ofany containers, volumes, and networks created with the given project name
.
This is mainly useful for cleaning up, in-case you lose a chat that wasresponsible for many containers.
๐ Resources
The server implements a couple resources for every container:
- Stats: CPU, memory, etc. for a container
- Logs: tail some logs from a container
๐จ Tools
Containers
list_containers
create_container
run_container
recreate_container
start_container
fetch_container_logs
stop_container
remove_container
Images
list_images
pull_image
push_image
build_image
remove_image
Networks
list_networks
create_network
remove_network
Volumes
list_volumes
create_volume
remove_volume
๐ง Disclaimers
Sensitive Data
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 theLLM is running on your local machine.
If you are interested in securely passing secrets to containers, file an issueon this repository with your use-case.
Reviewing Created Containers
Be careful to review the containers that the LLM creates. Docker is not a securesandbox, and therefore the MCP server can potentially impact the host machinethrough Docker.
For safety reasons, this MCP server doesn't support sensitive Docker optionslike --privileged
or --cap-add/--cap-drop
. If these features are of interestto you, file an issue on this repository with your use-case.
๐ ๏ธ Configuration
This server uses the Python Docker SDK's from_env
method. For configurationdetails, seethe documentation.
๐ป Development
Prefer using Devbox to configure your development environment.
See the devbox.json
for helpful development commands.