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OpenAI MCP Server

@MCP-Mirror

Repository

Basic information

Category

AI & Agents

Transports

stdio

Author

MCP-Mirror

About OpenAI MCP Server

Mirror of

#openai#mcp-server#api-integration

OpenAI MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "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 tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

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 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

Frequently asked questions

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.

Comments

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