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Docker MCP Server

A Model Context Protocol (MCP) server for Docker operations. This server allows Claude and other AI assistants to interact with Docker through the MCP protocol.

Note: This MCP server works with standard Docker CLI commands and does not currently support Docker Compose operations, other MCP servers with docker-compose didn't work reliably with cline yet.

Features

  • List Docker containers

  • List Docker images

  • Run Docker containers

  • Stop running containers

  • Remove containers

  • Pull Docker images from registries

Related MCP server: Docker MCP Server

Installation

Prerequisites

  • Node.js 18 or higher

  • Docker installed and running on your system

Install from npm

npm install -g docker-mcp-server

Install from source

  1. Clone this repository

  2. Install dependencies:

cd docker-mcp
npm install
  1. Build the project:

npm run build

Usage

Running the server

docker-mcp-server

Or if installed from source:

npm start

Configuring with Claude

You can use the included installation script to automatically configure the Docker MCP server with Claude:

npm run install-config

This script will:

  1. Detect your Claude installations (Desktop and/or VSCode)

  2. Update the configuration files to include the Docker MCP server

  3. Set up the correct paths for your system

Manual Configuration

If you prefer to configure manually, you need to add the Docker MCP server to your MCP settings configuration file:

For Claude Desktop App (macOS)

Edit ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "docker-mcp": {
      "command": "node",
      "args": ["/path/to/docker-mcp/dist/index.js"],
      "disabled": false,
      "autoApprove": []
    }
  }
}
For Claude in VSCode

Edit ~/.config/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json:

{
  "mcpServers": {
    "docker-mcp": {
      "command": "node",
      "args": ["/path/to/docker-mcp/dist/index.js"],
      "disabled": false,
      "autoApprove": []
    }
  }
}

Note: After configuring the Docker MCP server in VS Code, you may need to restart VS Code for the changes to take effect in Cline. If you encounter issues with the Docker MCP server not being recognized or working properly in Cline, try restarting VS Code.

Available Tools

list_containers

List all Docker containers.

Parameters:

  • all (boolean, optional): Show all containers (default shows just running)

list_images

List all Docker images.

run_container

Run a Docker container.

Parameters:

  • image (string, required): Docker image to run

  • name (string, optional): Name for the container

  • detach (boolean, optional): Run container in background

  • ports (array of strings, optional): Port mappings (e.g. ["8080:80"])

  • volumes (array of strings, optional): Volume mappings (e.g. ["/host/path:/container/path"])

  • env (array of strings, optional): Environment variables (e.g. ["KEY=value"])

  • command (string, optional): Command to run in the container

stop_container

Stop a running Docker container.

Parameters:

  • container (string, required): Container ID or name

remove_container

Remove a Docker container.

Parameters:

  • container (string, required): Container ID or name

  • force (boolean, optional): Force removal of running container

pull_image

Pull a Docker image from a registry.

Parameters:

  • image (string, required): Image name (e.g. "nginx:latest")

Example Usage with Claude

Once configured, you can ask Claude to perform Docker operations:

  • "Run a hello-world Docker container"

  • "List all Docker containers"

  • "Pull the latest nginx image"

  • "Run an nginx container on port 8080"

  • "Stop the nginx container"

  • "Remove all stopped containers"

MCP Marketplace

This Docker MCP server is available on the Cline MCP Marketplace, making it easy for users to discover and install with one click.

The logo for the MCP Marketplace submission is located in the assets/logo.png file.

For more information about the MCP Marketplace, visit:

License

MIT

Available Tools

6 tools
list_containersB

List all Docker containers

Inputs: all.

list_imagesA

List all Docker images

Inputs: no named parameters.

pull_imageB

Pull a Docker image from a registry

Inputs: image (required).

remove_containerC

Remove a Docker container

Inputs: container (required), force.

run_containerC

Run a Docker container

Inputs: image (required), name, detach, ports, +3 more.

stop_containerB

Stop a running Docker container

Inputs: container (required).

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A3.5/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose targeting specific Docker resources and actions. For example, list_containers vs. remove_container vs. run_container have no overlap, making it easy for an agent to select the right tool without confusion.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern with snake_case (e.g., list_containers, pull_image, stop_container). There are no deviations in naming conventions, making the set predictable and readable.

    Tool Count5/5

    With 6 tools, this is well-scoped for basic Docker operations. Each tool earns its place by covering essential container and image management tasks without being overly sparse or bloated.

    Completeness4/5

    The toolset covers core Docker workflows like listing, running, stopping, and removing containers, plus image listing and pulling. A minor gap exists in image management (e.g., no remove_image or inspect tools), but agents can work around this for most common tasks.

    Maintenance

    ActivityInactive
    ResponsivenessLimited data

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