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billster45/mcp-chatgpt-responses

by Various

MCP server for access to OpenAI's ChatGPT API with Responses API for conversation management

B

MCP

billster45/mcp-chatgpt-responses

Added 1 June 2026

Overview

This MCP server provides a bridge to OpenAI's ChatGPT API using the Responses API for structured conversation management. It is implemented in Python and allows developers to integrate ChatGPT capabilities into MCP-compatible applications.

Best for

Best for
Developers building MCP-based tools that need ChatGPT conversation capabilities

Use cases

  • Integrate ChatGPT responses into MCP-based workflows
  • Manage multi-turn conversations via the Responses API
  • Build custom AI assistants with OpenAI's chat models

How to use

Install

npx -y @smithery/cli install @billster45/mcp-chatgpt-responses --client claude

Tools exposed

  • ask_chatgpt
  • ask_chatgpt_with_web_search

Tested with

Claude Desktop, ChatGPT

Example client config

{\n  "mcpServers": {\n    "chatgpt": {\n      "command": "uv",\n      "args": [\n        "--directory",\n        "\\path\\to\\mcp-chatgpt-responses",\n        "run",\n        "chatgpt_server.py"\n      ],\n      "env": {\n        "OPENAI_API_KEY": "your-api-key-here",\n        "DEFAULT_MODEL": "gpt-4o",\n        "DEFAULT_TEMPERATURE": "0.7",\n        "MAX_TOKENS": "1000"\n      }\n    }\n  }\n}

Notes

This MCP server provides a bridge to OpenAI’s ChatGPT API using the Responses API for structured conversation management. It is implemented in Python and allows developers to integrate ChatGPT capabilities into MCP-compatible applications.

17 stars on GitHub. Last updated 2025-07-26.

Use cases

  • Integrate ChatGPT responses into MCP-based workflows
  • Manage multi-turn conversations via the Responses API
  • Build custom AI assistants with OpenAI’s chat models

Pros

  • Leverages the official OpenAI Responses API for reliable conversation handling
  • Lightweight Python implementation with 17 stars on GitHub
  • Simplifies integration of ChatGPT into MCP ecosystems

Cons

  • Requires an OpenAI API key and incurs usage costs
  • Limited community adoption due to low star count
  • Dependent on OpenAI’s API availability and rate limits

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Leverages the official OpenAI Responses API for reliable conversation handling
  • Lightweight Python implementation with 17 stars on GitHub
  • Simplifies integration of ChatGPT into MCP ecosystems

Cons

  • Requires an OpenAI API key and incurs usage costs
  • Limited community adoption due to low star count
  • Dependent on OpenAI's API availability and rate limits
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