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MCP ChatGPT Server: Enterprise Access & Secure AI Orchestration - MCP Implementation

MCP ChatGPT Server: Enterprise Access & Secure AI Orchestration

MCP ChatGPT Server delivers seamless enterprise access to OpenAI's ChatGPT API, with Responses API-powered conversation orchestration for scalable, secure AI integration.

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About MCP ChatGPT Server

What is MCP ChatGPT Server: Enterprise Access & Secure AI Orchestration?

MCP ChatGPT Server bridges the capabilities of OpenAI's ChatGPT API with the Claude Desktop environment, enabling seamless integration and secure orchestration of AI models. This server allows enterprises to leverage ChatGPT's advanced language capabilities while maintaining control over API access, conversation state management, and parameter customization. It acts as a middleware solution to streamline interactions between different AI models, ensuring both scalability and security.

How to use MCP ChatGPT Server: Enterprise Access & Secure AI Orchestration?

Utilizing the server involves three core steps: setup, configuration, and execution. Begin by installing Python 3.10+, uv package manager, and configuring your OpenAI API key. Next, deploy the server within Claude Desktop via the MCP Quickstart Guide. Once integrated, users can trigger ChatGPT interactions either directly through custom prompts or by enabling web search for real-time data enrichment. Conversations are managed via OpenAI's Responses API, ensuring context persistence across exchanges.

MCP ChatGPT Server Features

Key Features of MCP ChatGPT Server: Enterprise Access & Secure AI Orchestration?

  • Parameterized API Control: Adjust model versions, temperature, and token limits to tailor responses to specific use cases.
  • Multi-Agent Dialogue: Facilitate extended discussions between ChatGPT and Claude, maintaining contextual flow through conversation IDs.
  • Web-Enhanced Responses: Dynamically incorporate current web data to answer time-sensitive or data-driven inquiries.
  • Enterprise-Ready Security: Isolate API credentials via environment variables and enforce strict access controls.

Use Cases of MCP ChatGPT Server: Enterprise Access & Secure AI Orchestration?

Organizations can deploy this server for:

  • Automated customer support systems requiring multi-model collaboration
  • Research workflows needing real-time data synthesis from web sources
  • Training simulations where persistent conversation history is critical
  • Regulated environments demanding explicit API key management

MCP ChatGPT Server FAQ

FAQ from MCP ChatGPT Server: Enterprise Access & Secure AI Orchestration?

  • Q: Does this require specific Python versions? Yes, Python 3.10+ is mandatory for dependency compatibility.
  • Q: How is API security handled? API keys are stored in environment variables, accessible only through configured processes.
  • Q: Can I use GPT-3.5 Turbo models? Absolutely – simply adjust the DEFAULT_MODEL parameter in server configuration.
  • Q: What happens if the web search fails? The system gracefully falls back to standard ChatGPT response generation.

Content

MCP ChatGPT Server

This MCP server allows you to access OpenAI's ChatGPT API directly from Claude Desktop.

📝 Read about why I built this project : I Built an AI That Talks to Other AIs: Demystifying the MCP Hype

Features

  • Call the ChatGPT API with customisable parameters
  • Aks Claude and ChatGPT to talk to each other in a long running discussion!
  • Configure model versions, temperature, and other parameters
  • Use web search to get up-to-date information from the internet
  • Uses OpenAI's Responses API for automatic conversation state management
  • Use your own OpenAI API key

Setup Instructions

Prerequisites

Installation

  1. Clone this repository:

    git clone https://github.com/billster45/mcp-chatgpt-responses.git

cd mcp-chatgpt-responses
  1. Set up a virtual environment and install dependencies using uv:

    uv venv

    .venv\Scripts\activate

    uv pip install -r requirements.txt

Using with Claude Desktop

  1. Configure Claude Desktop to use this MCP server by following the instructions at: MCP Quickstart Guide

  2. Add the following configuration to your Claude Desktop config file (adjust paths as needed):

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

}
  1. Restart Claude Desktop.

  2. You can now use the ChatGPT API through Claude by asking questions that mention ChatGPT or that Claude might not be able to answer.

Available Tools

The MCP server provides the following tools:

  1. ask_chatgpt(prompt, model, temperature, max_output_tokens, response_id) - Send a prompt to ChatGPT and get a response

  2. ask_chatgpt_with_web_search(prompt, model, temperature, max_output_tokens, response_id) - Send a prompt to ChatGPT with web search enabled to get up-to-date information

Example Usage

Basic ChatGPT usage:

Tell Claude to ask ChatGPT a question!

Use the ask_chatgpt tool to answer: What is the best way to learn Python?

Tell Claude to have a conversation with ChatGPT:

Use the ask_chatgpt tool to have a two way conversation between you and ChatGPT about the topic that is most important to you.

Note how in a turn taking conversation the response id allows ChatGPT to store the history of the conversation so its a genuine conversation and not just as series of API calls. This is called conversation state.

With web search:

For questions that may benefit from up-to-date information:

Use the ask_chatgpt_with_web_search tool to answer: What are the latest developments in quantum computing?

Now try web search in agentic way to plan your perfect day out based on the weather!

Use the ask_chatgpt_with_web_search tool to find the weather tomorrow in New York, then based on that weather and what it returns, keep using the tool to build up a great day out for someone who loves food and parks

How It Works

This tool utilizes OpenAI's Responses API, which automatically maintains conversation state on OpenAI's servers. This approach:

  1. Simplifies code by letting OpenAI handle the conversation history
  2. Provides more reliable context tracking
  3. Improves the user experience by maintaining context across messages
  4. Allows access to the latest information from the web with the web search tool

License

MIT License

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