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OpenAI MCP Server

@pierrebrunelle

代码仓库

基本信息

分类

AI 与智能体

许可证

MIT

传输方式

stdio

作者

pierrebrunelle

关于 OpenAI MCP Server

Query OpenAI models directly from Claude using MCP protocol.

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 a lightweight bridge that lets Claude (or any MCP client) send prompts to OpenAI models and receive responses, using the Model Context Protocol. It is intended for developers who want to combine Claude’s interface with OpenAI’s language models.

How to use OpenAI MCP Server?

Add the server configuration to your claude_desktop_config.json file, specifying the Python command, the module path, and the environment variable OPENAI_API_KEY. Then launch Claude Desktop, and the server will be available as an MCP tool. Development and testing require cloning the repository and installing the package with pip install -e ..

Key features of OpenAI MCP Server

  • Directly queries OpenAI models from Claude
  • Simple setup via claude_desktop_config.json
  • Runs as a standard Python MCP server
  • Tested with pytest -v test_openai.py -s
  • Open source under the MIT license

Use cases of OpenAI MCP Server

  • Enabling Claude to answer questions using OpenAI’s GPT models
  • Comparing outputs from OpenAI models side‑by‑side in Claude
  • Using Claude’s interface to access OpenAI for specialized tasks
  • Rapid prototyping of multi‑model workflows without leaving the chat

常见问题

1

What runtime does OpenAI MCP Server require?

Python 3 must be installed on your system. The server is invoked with `python -m src.mcp_server_openai.server`.

2

How do I configure the server?

Edit `claude_desktop_config.json` to include the server entry, set the `PYTHONPATH` to the server directory, and provide your `OPENAI_API_KEY` environment variable.

3

How can I test that the server works?

From the project root, run `pytest -v test_openai.py -s`. A successful test prints an OpenAI response and passes all checks.

4

What OpenAI models are supported?

The server works with any OpenAI model accessible via the standard API—no model‑specific restrictions are mentioned in the README.

5

Does the server support streaming or advanced features?

The README does not describe streaming, function calling, or other advanced OpenAI API features. It only covers sending a prompt and receiving a reply.

评论

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