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MCP Server Docker
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MCP Server Docker

The Docker version of the MCP Server, which can connect to the Docker daemon
VirtualizationDeveloper tools#Docker Service#MCP Server#Container Connection Local.TypeScript
2 points
15

What is the MCP Docker Server?

The MCP Docker Server is a server specifically designed to implement the Model Context Protocol (MCP), aiming to facilitate communication between AI applications and Docker containers. It can automatically connect to your local Docker environment to manage and serve AI models.

How to Use the MCP Docker Server?

The server runs as an npm package and automatically connects to your Docker daemon. You only need to configure the correct command parameters in your client application (such as the Claude desktop).

Use Cases

It is ideal for developers who wish to: 1) Run AI models in isolated Docker containers; 2) Manage multiple model versions; 3) Integrate applications that support the MCP protocol.

Main Features

Automatic Docker ConnectionIt can automatically detect and connect to the local Docker daemon without additional configuration.
In the Form of an NPM PackageIt runs as an npm package, facilitating integration and management.
Multi-Model SupportIt can handle and serve multiple AI model versions simultaneously.

Advantages and Disadvantages

Usage Guide

Usage Examples

Frequently Asked Questions

How to check if the MCP Docker Server is running?
What should I do if I encounter a startup error?
Can it support custom configuration files?

More Resources

Model Context Protocol Documentation
View detailed MCP protocol specifications and usage guides.
Docker Installation Guide
Get Docker installation and usage tutorials.
Official Documentation
Refer to the official documentation and API description of the MCP Docker Server.
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "docker": {
      "command": "npx",
      "args": ["mcp-server-docker"]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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