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ChatGPT MCP Server

ChatGPT MCP Server

by xncbf
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

ChatGPT MCP Server

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

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.

Related MCP server: MCP Bridge Server

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:

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:

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

If manually installed, add to your MCP client configuration:

{
  "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 .

  2. 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:

PYTHONPATH=. uv run python -m chatgpt_mcp.chatgpt_mcp

License

MIT

Available Tools

3 tools
ask_chatgpt_toolC

Send a prompt to ChatGPT and return the response.

Inputs: prompt (required).

get_chatgpt_response_toolA

Get the latest response from ChatGPT after sending a message.

Inputs: no named parameters.

new_chatgpt_chat_toolA

Start a new chat conversation in ChatGPT.

Inputs: no named parameters.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    Deploy Server
    Claude Code, inside the Godot 4 editorFlockbay puts an AI agent in the real Godot 4 editor: it writes GDScript, runs your game and fixes what breaks. Free, or bring your own Claude Code or Codex.flockbay.comAd

    TDQS

    B3.3/5.0

    Scored across 3 tools

    Disambiguation2/5

    The 'ask_chatgpt_tool' returns the response immediately, making 'get_chatgpt_response_tool' redundant and causing confusion about when to use each. 'new_chatgpt_chat_tool' is distinct but the overlap between the first two tools leads to ambiguity.

    Naming Consistency4/5

    All tools follow a snake_case pattern with a '_tool' suffix, maintaining consistency. However, the noun component varies (no noun in 'ask_chatgpt_tool', 'response' in 'get_chatgpt_response_tool', 'chat' in 'new_chatgpt_chat_tool'), which is a minor deviation.

    Tool Count4/5

    Three tools is a reasonable number for a basic ChatGPT interaction server. It covers sending a prompt, retrieving the latest response, and starting a new conversation without being overly minimal or excessive.

    Completeness3/5

    The set covers sending prompts and managing conversations at a basic level, but lacks tools for listing past conversations, adjusting model parameters, or deleting chats, which are notable gaps for a chatbot interface.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

    Resources

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