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MCP ChatGPT Server

MCP Server

Bridge Claude Desktop with OpenAI’s ChatGPT API

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Updated 17 days ago

About

This MCP server lets Claude Desktop users call the ChatGPT API directly, enabling dynamic conversations, web‑search enabled queries, and conversation state management via OpenAI’s Responses API.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Overview

The MCP ChatGPT Server bridges Claude Desktop and OpenAI’s ChatGPT API, enabling developers to embed GPT‑powered responses directly into their AI workflows. By exposing a set of MCP tools, the server lets Claude invoke ChatGPT with fine‑grained control over model selection, temperature, token limits, and conversation state. This eliminates the need for separate API wrappers or manual request handling, streamlining the integration of GPT into existing Claude‑based applications.

What sets this server apart is its built‑in conversation state management. Each call to carries a unique , allowing OpenAI’s Responses API to persist dialogue history. As a result, developers can orchestrate multi‑turn interactions where Claude and ChatGPT converse seamlessly, creating richer dialogues that feel natural rather than a collection of isolated prompts. The ability to toggle web search on demand further extends its utility, letting the system fetch fresh data from the internet when a query requires up‑to‑date knowledge.

Key capabilities include:

  • Customizable prompts: Choose model version, temperature, and token limits per request.
  • Web‑search integration: Enable real‑time browsing to answer questions that depend on current events or niche data.
  • Stateful conversations: Preserve context across turns using OpenAI’s conversation state API, enabling long‑running discussions.
  • Secure key handling: Accept an OpenAI API key via environment variables, keeping credentials out of source code.

Real‑world scenarios where this server shines include chatbot development, virtual assistants that need to pull in GPT responses on demand, and collaborative AI systems where Claude delegates certain tasks to ChatGPT. For example, a customer support bot could use Claude for intent detection and then hand off detailed technical explanations to ChatGPT, maintaining context throughout the session.

Integration is straightforward: after installing the MCP server through Smithery or cloning the repo, developers add a single configuration block to Claude Desktop. Once configured, any prompt that references or is automatically routed to the server, returning a polished response that can be embedded in the conversation flow. This tight coupling of tools and state management makes the MCP ChatGPT Server a powerful addition to any developer’s AI toolkit.