ChatGPT MCP Server

@MCP-Mirror

Repository

Basic information

About ChatGPT MCP Server

Mirror of

#chatgpt#docker-management#mcp-server

ChatGPT MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "Toowiredd_chatgpt-mcp-server": {
      "command": "docker",
      "args": [
        "run",
        "-d",
        "\\"
      ]
    }
  }
}

ChatGPT MCP Server tools

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.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is ChatGPT MCP Server?

ChatGPT MCP Server is a Model Context Protocol (MCP) server that provides Docker management capabilities through a custom GPT interface. It is built with TypeScript and designed for containerized deployment, enabling natural language interaction with Docker containers.

How to use ChatGPT MCP Server?

Clone the repository, install dependencies (npm install), create an environment file from env.example, and build the project (npm run build). Run with Docker using npm run docker:build and npm run docker:run, or manually mount the Docker socket and set environment variables.

Key features of ChatGPT MCP Server

Docker container management through natural language
Built on the Model Context Protocol (MCP)
TypeScript implementation with containerized deployment
Robust error handling and graceful shutdown
Resource management and port handling
Rate limiting and API key authentication

Use cases of ChatGPT MCP Server

Manage Docker containers from a ChatGPT interface
Automate container operations using natural language commands
Integrate Docker management into custom GPT workflows
Secure container management with API key authentication and rate limiting

Frequently asked questions

What does ChatGPT MCP Server do?

It provides Docker management capabilities through a custom GPT interface using the Model Context Protocol.

What environment variables are required?

`API_KEY` for authentication, `HTTP_PORT` (default 3001), `RATE_LIMIT_REQUESTS`, and `RATE_LIMIT_WINDOW` for rate limiting.

How do I run the server with Docker?

Build the container with `npm run docker:build` and run it with `npm run docker:run`, or manually mount `/var/run/docker.sock` and set environment variables.

Does the server handle errors gracefully?

Yes, it includes port conflict detection, network error handling, unhandled rejection catching, and a graceful shutdown process that releases resources.

What runtime dependencies does it have?

Node.js and npm are required for building and running, and Docker is used for containerized deployment. The server accesses the Docker daemon via the Docker socket.

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