OpenAI MCP Server

Name: OpenAI MCP Server
Author: akiojin

@akiojin

リポジトリ

OpenAI MCP Server について

概要はまだありません

基本情報

カテゴリ

AI とエージェント

ライセンス

MIT license

ランタイム

node

トランスポート

stdio

公開者

akiojin

設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

ツール

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概要

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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