OpenAI MCP Server
@akiojin
About OpenAI MCP Server
No overview available yet
Basic information
Config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
More AI & Agents MCP servers
Mcp Agent
lastmile-aiBuild effective agents using Model Context Protocol and simple workflow patterns
Sequential Thinking Multi-Agent System (MAS)
FradSerAn advanced sequential thinking process using a Multi-Agent System (MAS) built with the Agno framework and served via MCP.
🛡️ A.I.G(AI-Infra-Guard)
TencentA full-stack AI Red Teaming platform securing AI ecosystems via OpenClaw Security Scan, Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.
Solon Ai
opensolonJava AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java25. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.
欢迎来到 智言平台
Shy2593666979AgentChat 是一个基于 LLM 的智能体交流平台,内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作,Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术,实现高效的知识检索与工具调用,使用 FastAPI 构建高性能后端服务。
Comments