ChatGPT MCP Server

Created By
Toowiredda year ago
A Model Context Protocol server for Docker management through ChatGPT
Overview

what is ChatGPT MCP Server?

ChatGPT MCP Server is a Model Context Protocol (MCP) server that enables Docker management through a custom GPT interface, allowing users to manage Docker containers using natural language commands.

how to use ChatGPT MCP Server?

To use the ChatGPT MCP Server, you can install it via Smithery or manually clone the repository, install dependencies, and run the server using Docker commands.

key features of ChatGPT MCP Server?

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

use cases of ChatGPT MCP Server?

  1. Managing Docker containers through conversational commands.
  2. Automating deployment processes in development environments.
  3. Simplifying Docker management for users unfamiliar with command-line interfaces.

FAQ from ChatGPT MCP Server?

  • Can I use ChatGPT MCP Server for any Docker container?

Yes! It can manage any Docker container as long as it is properly configured.

  • Is there a graphical interface for ChatGPT MCP Server?

No, it is primarily designed for command-line and natural language interactions.

  • How do I handle errors during Docker management?

The server has built-in error handling to manage common issues like port conflicts and resource leaks.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
Toowiredd
Star
-
Language
-
License
-

Recommend Servers

View All
Bring your real authenticated browser session to AI coding agents. Local-first MCP server + Chrome MV3 extension. No cloud. No telemetry.
@Cubenest

peek records the user's actual logged-in browser (DOM via rrweb, console events, network metadata, optional response bodies via opt-in Deep capture) through a Chrome MV3 extension. The extension ships events through a native-messaging stdio bridge to a local MCP server (peek-mcp), which persists them to a SQLite database at ~/.peek/sessions.db. AI coding agents (Claude Code, Cursor, Cline, Windsurf) read sessions from the database via 10 MCP tools: Tool What it does list_recent_sessions List recently recorded sessions (id, origin, ts, event count). get_session_summary LLM-readable narrative summary of a session. get_session_console_errors Console errors recorded in a session. get_session_network_errors Failed/notable network requests in a session. get_user_action_before_error Last N user actions before a console error. generate_playwright_repro Generate a runnable Playwright test from a session. get_dom_snapshot Reconstruct the DOM at a given timestamp. query_dom_history Timeline of attribute/text changes for a selector. request_authorization Side-panel consent for write actions (Level 3). execute_action Dispatch a UI action (gated by permission level + destructive blocklist). Why local-first matters Every other "browser session for AI" tool ships to a vendor cloud. peek's SQLite + extension live on the user's machine — no remote endpoints, no telemetry. The privacy policy (docs/peek/PRIVACY_POLICY.md) is the source of truth. Install # 1. Add the MCP server to Claude Code claude mcp add peek -- npx -y @peekdev/mcp # 2. Install the Chrome extension from the Chrome Web Store # (link added once the CWS listing is approved)

a day ago
Crevio

2 days ago