What are the prerequisites for running π³ docker-mcp?
You need UV, Python 3.12+, Docker Desktop or Docker Engine, and Claude Desktop. The server is installed via `uvx docker-mcp`.
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Basic information
A docker MCP Server (modelcontextprotocol)
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"docker-mcp": {
"command": "uvx",
"args": [
"docker-mcp"
]
}
}
}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.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
π³ docker-mcp is a Model Context Protocol (MCP) server that enables Claude AI to manage Docker containers and Docker Compose stacks directly from the Claude Desktop interface. It is designed for developers who want to control their Docker environment using natural language commands through Claude.
Add the server configuration to your Claude Desktop config file (MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json, Windows: %APPDATA%/Claude/claude_desktop_config.json) using the command uvx docker-mcp. Alternatively, install it automatically via Smithery with npx @smithery/cli install docker-mcp --client claude. Prerequisites include UV package manager, Python 3.12+, Docker Desktop or Docker Engine, and Claude Desktop.
create-container)deploy-compose)get-logs)list-containers)You need UV, Python 3.12+, Docker Desktop or Docker Engine, and Claude Desktop. The server is installed via `uvx docker-mcp`.
The README lists several missing features: no built-in environment variable support, no volume or network management, no container health checks, no restart policies, and no resource limits.
Run `npx @smithery/cli install docker-mcp --client claude` in your terminal. This automatically configures the server for Claude Desktop.
It offers four tools: `create-container`, `deploy-compose`, `get-logs`, and `list-containers`. Each tool accepts specific JSON parameters as shown in the README.
No. The server connects to your local Docker daemon and does not include any authentication mechanism. It relies on the user's local Docker setup.
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