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.
@MCP-Mirror
基本情報
Mirror of
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"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"
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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.
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.
claude_desktop_config.jsonIt 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.
You need Python, an OpenAI API key, and Claude Desktop (or any MCP client). The server runs as a local process using stdio transport.
Set your OpenAI API key in the `OPENAI_API_KEY` environment variable inside the server’s configuration.
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.
The README does not document specific limits. The server relies on your OpenAI API key’s rate limits and quotas.

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