The ChatGPT MCP Server enables Docker container management through a natural language interface. You can:
List containers: View all Docker containers (including stopped ones if specified)
Create containers: Create and start new containers with customizable image, name, environment variables, and port mappings
Stop containers: Halt running containers by ID or name
Start containers: Launch stopped containers by ID or name
Remove containers: Delete containers (with option to force removal of running ones)
View logs: Retrieve container logs with configurable line count
Execute commands: Run commands inside running containers
Allows managing Docker containers through natural language commands, including operations such as creating, starting, stopping, and monitoring containers.
ChatGPT MCP Server
A Model Context Protocol (MCP) server that provides Docker management capabilities through a custom GPT interface.
Features
Docker container management through natural language
Built on the Model Context Protocol (MCP)
TypeScript implementation
Containerized deployment
Robust error handling and graceful shutdown
Resource management and port handling
Rate limiting and API key authentication
Setup
Installing via Smithery
To install ChatGPT MCP Server for Claude Desktop automatically via Smithery:
Manual Installation
Clone the repository
Install dependencies
Create environment file
Build the project
Running with Docker
Build the container
Run the container
Or manually:
Development
npm run build
- Build the TypeScript codenpm run watch
- Watch for changes and rebuildnpm run inspector
- Run the MCP inspector tool
Environment Variables
API_KEY
- API authentication keyHTTP_PORT
- Server port (default: 3001)RATE_LIMIT_REQUESTS
- Maximum requests per windowRATE_LIMIT_WINDOW
- Window size in milliseconds
Resource Management
The server implements robust resource management:
Graceful shutdown on process signals (SIGINT, SIGTERM, SIGQUIT)
Connection tracking and management
Request timeout handling
Port conflict detection
Keep-alive connection management
Active request tracking and graceful completion
Shutdown Process
The server initiates graceful shutdown on process signals
New connections are rejected
Active requests are allowed to complete (with timeout)
Keep-alive connections are closed
Server ports are properly released
Resources are properly released
Error Handling
Port conflicts are detected and reported
Unhandled rejections and exceptions are caught
Network errors are properly handled
Resource leaks are prevented through proper handling
Timeouts ensure the server doesn't hang during shutdown
License
MIT
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
A Model Context Protocol server that enables Docker container management through natural language interactions using a custom GPT interface.
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