The mcp-chatgpt-responses is an MCP server designed to seamlessly connect Claude Desktop with OpenAI's ChatGPT API, enhancing Claude's capabilities with ChatGPT's advanced features. This server empowers developers to leverage ChatGPT's strengths, including web search integration for up-to-date information and the Responses API for streamlined conversation state management.

Key features include customizable parameters for ChatGPT API calls, enabling fine-grained control over model versions and temperature. By utilizing the OpenAI Responses API, the server simplifies code and ensures reliable context tracking across multi-turn conversations. Developers can easily integrate this server into Claude Desktop, unlocking the ability to ask questions that benefit from ChatGPT's knowledge or real-time web data. This fosters more dynamic and context-aware AI interactions, improving the overall user experience. The server is implemented in Python and integrates via standard MCP configuration, requiring an OpenAI API key for operation.

ChatGPT API Access

The mcp-chatgpt-responses server provides a direct interface to OpenAI's ChatGPT API, enabling other AI models within the MCP ecosystem, such as Claude, to leverage ChatGPT's advanced language capabilities. This access includes the ability to specify various parameters like model version (gpt-4o), temperature, and maximum output tokens, allowing for fine-grained control over the generated responses. By acting as a bridge, this server expands the capabilities of AI clients that might not natively support the ChatGPT API.

For example, Claude can use this server to answer questions it's not equipped to handle or to generate creative content. A developer benefits by integrating ChatGPT's capabilities into their existing AI workflows without needing to implement the API integration directly within each client application. This simplifies development and promotes code reuse within the MCP ecosystem.

Web Search Integration

This server enhances ChatGPT's capabilities by integrating web search functionality. The ask_chatgpt_with_web_search tool allows ChatGPT to access and incorporate real-time information from the internet into its responses. This is particularly useful for answering questions that require up-to-date knowledge or for tasks that benefit from current events or data. The integration ensures that the AI model can provide informed and relevant answers, even when dealing with rapidly changing topics.

Imagine a scenario where Claude needs to provide information on the latest advancements in a specific field. By using the ask_chatgpt_with_web_search tool, it can query ChatGPT, which in turn searches the web for the most recent data and incorporates it into its response. This feature addresses the common problem of AI models lacking access to current information, making them more reliable and versatile.

Conversation State Management

The server leverages OpenAI's Responses API to automatically manage conversation state. This feature allows for long-running, context-aware conversations between AI models. By maintaining a history of previous interactions, ChatGPT can provide more coherent and relevant responses, creating a more natural and engaging conversational experience. The Responses API handles the complexities of tracking conversation context, simplifying the development process and improving the overall user experience.

Consider a scenario where Claude and ChatGPT are engaged in a multi-turn discussion about a complex topic. The Responses API ensures that ChatGPT remembers the previous turns of the conversation, allowing it to build upon earlier responses and maintain a consistent line of reasoning. This eliminates the need for developers to manually manage conversation history, reducing code complexity and improving the reliability of the AI interaction.

Integration Advantages

The mcp-chatgpt-responses server offers seamless integration within the MCP ecosystem. It allows AI clients like Claude to easily access ChatGPT's capabilities through a standardized interface. The server simplifies the process of incorporating ChatGPT into existing AI workflows, reducing the need for complex API integrations. This promotes interoperability and code reuse within the MCP ecosystem, making it easier for developers to build and deploy AI applications.

By providing a clear and consistent interface to ChatGPT, the server enables developers to focus on building innovative AI solutions rather than grappling with the intricacies of API integration. This streamlined approach accelerates development cycles and fosters collaboration within the MCP community.