local-mcp-with-docker
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@local-mcp-with-dockerrun 'ls -la' in the workspace"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Local(stdio) MCP Server with Docker
This project is a minimal local MCP server that exposes a run_command tool over stdio.
Setup
cd ~path-to-directory/local-mcp-with-docker
uv syncStart the script using:
uv run main.pyNote: from MCP 2.0 onward, there will be no output in the console after the server starts. The process stays alive and waits for stdio messages from an MCP client. You can inspect it using the debugger in a new terminal session.
Start the inspector:
npx -y @modelcontextprotocol/inspectorThen in the inspector UI:
Transport:
stdioCommand:
uvArgs:
run,python,main.pyWorking directory:
~path-to-directory/local-mcp-with-docker
The inspector should show the registered tool run_command and allow you to call it directly.
Related MCP server: mcp-stdio
Build the Docker image
docker build -t terminal_tool_docker .This creates the local Docker image used by the Claude Desktop MCP config.
Claude Desktop config
Add this to your Claude Desktop MCP config file:
{
"mcpServers": {
"local-mcp-with-docker": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--init",
"-e",
"DOCKER_CONTAINER=true",
"-e",
"WORKSPACE_DIR=/root/mcp/workspace",
"-v",
"path-to-directory/local-mcp-with-docker:/root/mcp/workspace",
"terminal_tool_docker"
]
}
}
}This mounts your workspace into the container and points the server at the correct working directory inside the container.
Claude screenshot

Maintenance
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