What sensitive data precautions should I take?
Do not configure containers with sensitive data like API keys or passwords, as information exchanged with the LLM is inherently compromised unless the LLM runs locally.
@ckreiling
Basic information
Category
Cloud & Infrastructure
License
GPL-3.0
Transports
stdio
Author
ckreiling
Submitted by
Christian Kreiling
MCP server for Docker
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-docker": {
"command": "docker",
"args": [
"build",
"-t",
"mcp-server-docker",
"."
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
It is an MCP server that enables managing Docker containers, images, networks, and volumes using natural language. It integrates with Docker via the Python Docker SDK and is designed for server administrators, tinkerers, and AI enthusiasts.
Install by adding the server to your Claude Desktop MCP configuration using either uvx mcp-server-docker or a Docker container that mounts the Docker socket. Then invoke tools and prompts through natural language interactions with the LLM.
Do not configure containers with sensitive data like API keys or passwords, as information exchanged with the LLM is inherently compromised unless the LLM runs locally.
Set a `ssh://` host URL in the `DOCKER_HOST` environment variable within the MCP server definition.
The server intentionally blocks sensitive Docker options such as `--privileged` and `--cap-add/--cap-drop` for safety.
For each container, the server offers CPU/memory stats and a tail of logs as resources.
Use `uvx mcp-server-docker` in your MCP servers configuration after installing `uv`. Alternatively, build and run the Docker image with the Docker socket mounted.
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