What are the requirements for Docker MCP Server?
Python 3.9+, Docker installed and running, and the fastmcp library.
@zaycruz
基本信息
MCP Server for docker container creation and code execution
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"DockerManager": {
"command": "python3",
"args": [
"{REPOSITORY_PATH}/src/docker_mcp.py"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Docker MCP Server is a Model Context Protocol (MCP) server that executes code in isolated Docker containers and returns the results to language models like Claude. It supports any language with a Docker image and provides tools for creating, managing, and cleaning up containers.
Install Python 3.9+, Docker, and the fastmcp library. Clone the repository, create a virtual environment, and install requirements. Run python run_server.py to open the MCP Inspector at http://localhost:5173. Use the provided tools (list containers, create container, add dependencies, execute code, execute Python script, cleanup container) to run code in Docker. Integrate with Claude by running fastmcp install src/docker_mcp.py.
Python 3.9+, Docker installed and running, and the fastmcp library.
Use the `fastmcp install src/docker_mcp.py` command to register the server with Claude.
It automatically detects and uses pip (Python), npm (Node.js), apt-get (Debian/Ubuntu), or apk (Alpine). For ambiguous images, it attempts to detect available package managers.
The server includes fallback mechanisms for containers that don’t respond within expected timeframes.
Docker provides isolation from the host, but the server should not be exposed publicly without additional security measures. Avoid mounting host volumes and consider setting resource limits to prevent DoS attacks.

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MCP server connecting to Kubernetes
Development environments for coding agents. Enable multiple agents to work safely and independently with your preferred stack.
Development environments for coding agents. Enable multiple agents to work safely and independently with your preferred stack.
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