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ChatGPT MCP Server logo

ChatGPT MCP Server

xncbf/chatgpt-mcp
75 starsSTDIORegistry activeMITUpdated 2026-07-09Community

Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

claude mcp add chatgpt -- uvx chatgpt-mcp

Summary

ChatGPT MCP is a lightweight Model Context Protocol server that automates the macOS ChatGPT desktop app. It gives any MCP-compatible assistant three tools: send a prompt to ChatGPT, retrieve the latest response, and open a new conversation.

Connect from your MCP client

One-click install

Add this server to your editor with a single click. Fill in any required credentials afterward.

Install in CursorInstall in VS Code

Claude Code

Run this once and Claude Code registers the server for you:

claude mcp add chatgpt -- uvx chatgpt-mcp

Claude Desktop

Add this to claude_desktop_config.json under Settings → Developer → Edit Config:

{
  "mcpServers": {
    "chatgpt": {
      "command": "uvx",
      "args": [
        "chatgpt-mcp"
      ]
    }
  }
}

Cursor

Add this to .cursor/mcp.json in your project (or ~/.cursor/mcp.json for all projects):

{
  "mcpServers": {
    "chatgpt": {
      "command": "uvx",
      "args": [
        "chatgpt-mcp"
      ]
    }
  }
}

Cline and other MCP clients

Most MCP clients accept the standard mcpServers JSON block:

{
  "mcpServers": {
    "chatgpt": {
      "command": "uvx",
      "args": [
        "chatgpt-mcp"
      ]
    }
  }
}

Codex CLI

Register the server with OpenAI's Codex CLI — run this once, or add the equivalent block to ~/.codex/config.toml:

codex mcp add chatgpt -- uvx chatgpt-mcp

# or add to ~/.codex/config.toml:
[mcp_servers.chatgpt]
command = "uvx"
args = ["chatgpt-mcp"]

OpenClaw

OpenClaw reads MCP servers from the mcp.servers section of ~/.openclaw/openclaw.json (managed via `openclaw mcp add` or the mcporter skill):

{
  "mcp": {
    "servers": {
      "chatgpt": {
        "command": "uvx",
        "args": [
          "chatgpt-mcp"
        ]
      }
    }
  }
}

README.md

ChatGPT MCP Server

A Model Context Protocol (MCP) server that enables AI assistants to interact with the ChatGPT desktop app on macOS.

<a href="https://glama.ai/mcp/servers/@xncbf/chatgpt-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@xncbf/chatgpt-mcp/badge" alt="ChatGPT Server MCP server" /> </a>

https://github.com/user-attachments/assets/a30c9b34-cdbe-4c0e-a0b0-33eb5054db5c

Language Support

Supported system languages for response detection:

  • Korean
  • English

If your macOS system language is not listed above, please follow these instructions:

  1. Make sure ChatGPT desktop app is running
  2. Run show_all_button_names.applescript and copy the output to create an issue for language support.

Features

  • Send prompts to ChatGPT from any MCP-compatible AI assistant
  • Built with Python and FastMCP

Note: This server only supports English text input. Non-English characters may not work properly.

Installation

Prerequisites

  • macOS
  • ChatGPT desktop app installed and running
  • Python 3.10+
  • uv package manager

For Claude Code Users

Simply run: ``bash claude mcp add chatgpt-mcp uvx chatgpt-mcp ``

That's it! You can start using ChatGPT commands in Claude Code.

For Other MCP Clients

Step 1: Install the MCP Server

Option A: Install from PyPI (Recommended)

# Install with uv
uv add chatgpt-mcp

Option B: Manual Installation

# Clone the repository
git clone https://github.com/xncbf/chatgpt-mcp
cd chatgpt-mcp

# Install dependencies with uv
uv sync

Step 2: Configure Your MCP Client

If installed from PyPI, add to your MCP client configuration: ``json { "mcpServers": { "chatgpt": { "command": "uvx", "args": ["chatgpt-mcp"] } } } ``

If manually installed, add to your MCP client configuration: ``json { "mcpServers": { "chatgpt": { "command": "uv", "args": ["run", "chatgpt-mcp"], "cwd": "/path/to/chatgpt-mcp" } } } ``

Usage

  1. Open ChatGPT desktop app and make sure it's running
  2. Open your MCP client (Claude Code, etc.)
  3. Use ChatGPT commands in your AI assistant:
  • "Send a message to ChatGPT"

The AI assistant will automatically use the appropriate MCP tools to interact with ChatGPT.

Available Tools

ask_chatgpt

Send a prompt to ChatGPT and receive the response.

ask_chatgpt(prompt="Hello, ChatGPT!")

get_chatgpt_response

Get the latest response from ChatGPT after sending a message.

get_chatgpt_response()

new_chatgpt_chat

Start a new chat conversation in ChatGPT.

new_chatgpt_chat()

Development

Local Testing

To test the MCP server locally during development:

  1. Install in editable mode
   uv pip install -e .
  1. Test with MCP Inspector
   npx @modelcontextprotocol/inspector chatgpt-mcp

The editable installation creates a chatgpt-mcp command that directly references your source code, so any changes you make are immediately reflected without reinstalling.

Running without installation

You can also run the server directly: ``bash PYTHONPATH=. uv run python -m chatgpt_mcp.chatgpt_mcp ``

License

MIT

See related servers & alternatives →

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