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OpenAI MCP Server

@akiojin

About OpenAI MCP Server

No overview available yet

Basic information

Category

AI & Agents

License

MIT license

Runtime

node

Transports

stdio

Publisher

akiojin

Config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Tools

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Overview

What is OpenAI MCP Server?

OpenAI MCP Server is a Model Context Protocol (MCP) server that enables AI assistants to interact with OpenAI’s ChatGPT API. It provides tools for generating text completions and listing available models, targeting developers who integrate AI into MCP-compatible clients.

How to use OpenAI MCP Server?

Prerequisites are Node.js 18+ and an OpenAI API key. Clone the repository, run npm install and npm run build, then create a .env file with OPENAI_API_KEY. Add the server to your MCP client configuration using the command node with args pointing to the built dist/index.js. The server exposes two tools: chat_completion and list_models.

Key features of OpenAI MCP Server

  • Chat completion with multiple OpenAI models (GPT-4.1, GPT-4.1-mini, GPT-4.1-nano, GPT-4o, o1, o1-pro, o3, o4-mini)
  • List all available OpenAI models
  • Configurable parameters: temperature (0–2), max tokens (default 1000), and model selection
  • Built on the Model Context Protocol for seamless AI assistant integration

Use cases of OpenAI MCP Server

  • Integrate ChatGPT-powered text generation into MCP-compatible AI assistants
  • Dynamically select and query OpenAI models based on task requirements
  • Prototype and deploy conversational agents with configurable generation settings
  • Retrieve model lists for tool selection or resource planning

FAQ from OpenAI MCP Server

What models are supported?

The server supports GPT-4.1, GPT-4.1-mini, GPT-4.1-nano, GPT-4o, o1, o1-pro, o3, and o4-mini, with GPT-4.1 as the default.

How do I configure the API key?

Copy .env.example to .env in the project root, then set OPENAI_API_KEY=your_api_key_here.

What are the system requirements?

Node.js 18 or higher and an active OpenAI API key are required.

How do I use the chat_completion tool?

Call chat_completion with required messages (array of role/content objects). Optional parameters include model, temperature (0–2, default 0.7), and max_tokens (default 1000).

Is there a tool to list models?

Yes, the list_models tool returns a list of all available OpenAI models.

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