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OpenAI MCP Server

@MCP-Mirror

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

MCP-Mirror

关于 OpenAI MCP Server

Mirror of

#openai#mcp-server#api-integration

OpenAI MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "openai-server": {
      "command": "python",
      "args": [
        "-m",
        "src.mcp_server_openai.server"
      ],
      "env": {
        "PYTHONPATH": "C:/path/to/your/mcp-server-openai",
        "OPENAI_API_KEY": "your-key-here"
      }
    }
  }
}

OpenAI MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is OpenAI MCP Server?

OpenAI MCP Server is an MCP (Model Context Protocol) server that lets you query OpenAI models directly from Claude. It bridges OpenAI’s API with Claude’s interface, enabling seamless AI model switching within Claude Desktop.

How to use OpenAI MCP Server?

Install the server from GitHub, then add it to your claude_desktop_config.json with the command python -m src.mcp_server_openai.server. Set the OPENAI_API_KEY environment variable to your key and point PYTHONPATH to the server’s directory.

Key features of OpenAI MCP Server

  • Queries OpenAI models directly from Claude
  • Integrates via the Model Context Protocol
  • Easy configuration in claude_desktop_config.json
  • Simple Python-based setup and execution

Use cases of OpenAI MCP Server

  • Using OpenAI’s GPT models as a fallback or alternative inside Claude
  • Comparing OpenAI and Claude outputs without switching apps
  • Automating tasks that require specific OpenAI model capabilities

常见问题

1

What does OpenAI MCP Server do exactly?

It acts as an MCP server that Claude can call to send prompts to OpenAI’s API and return the model’s responses back to Claude.

2

What are the dependencies and runtime requirements?

You need Python, an OpenAI API key, and Claude Desktop (or any MCP client). The server runs as a local process using stdio transport.

3

How do I authenticate with OpenAI?

Set your OpenAI API key in the `OPENAI_API_KEY` environment variable inside the server’s configuration.

4

Where does my data live?

All data stays on your machine; the server sends prompts and receives responses directly via the OpenAI API. No data is stored locally by the server itself.

5

Are there any known limits or restrictions?

The README does not document specific limits. The server relies on your OpenAI API key’s rate limits and quotas.

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