OpenAI Speech-to-Text transcriptions MCP Server

@Ichigo3766

リポジトリ

基本情報

カテゴリ

メディアとデザイン

ライセンス

MIT

トランスポート

stdio

作者

Ichigo3766

OpenAI Speech-to-Text transcriptions MCP Server について

A MCP server that provides audio transcription capabilities using OpenAI's Whisper API

OpenAI Speech-to-Text transcriptions MCP Server の設定

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": {
    "audio-transcriber": {
      "command": "node",
      "args": [
        "/path/to/audio-transcriber-mcp/build/index.js"
      ],
      "env": {
        "OPENAI_API_KEY": "",
        "OPENAI_BASE_URL": "",
        "OPENAI_MODEL": ""
      }
    }
  }
}

OpenAI Speech-to-Text transcriptions MCP Server のツール

Transcribe audio files using OpenAI's API

概要

What is OpenAI Speech-to-Text transcriptions MCP Server?

A Model Context Protocol server that provides audio transcription capabilities using OpenAI’s API. It is built for developers who want to integrate speech-to-text into MCP-compatible applications.

How to use OpenAI Speech-to-Text transcriptions MCP Server?

Clone the repository, run npm install and npm run build, then set your OPENAI_API_KEY environment variable. Add the server configuration to your MCP settings with the compiled index.js file. Use the transcribe_audio tool with a file path; optionally set save_to_file (Boolean) and language (ISO‑639‑1 code).

Key features of OpenAI Speech-to-Text transcriptions MCP Server

Transcribes audio files via OpenAI’s API
Optional language parameter (ISO‑639‑1 code)
Option to save transcription output to a file
Configurable OpenAI base URL and model
Open source under the MIT License

Use cases of OpenAI Speech-to-Text transcriptions MCP Server

Transcribing meeting recordings for searchable notes
Adding speech-to-text to AI assistants or chatbots
Processing user‑uploaded audio in MCP‑based apps
Converting voice memos to text with language selection

よくある質問

What does the server do?

It provides a `transcribe_audio` tool that sends audio files to OpenAI’s speech‑to‑text endpoint and returns the transcription.

What are the requirements?

You need Node.js, npm, and an OpenAI API key. Optionally you can set a custom base URL and model.

How do I configure the server?

Add the server to your MCP configuration with the `command: "node"` and `args` pointing to the built `index.js`, and set `OPENAI_API_KEY` in the `env` object.

What parameters does `transcribe_audio` accept?

It requires `filepath` (string). Optional parameters: `save_to_file` (Boolean) and `language` (ISO‑639‑1 code, e.g., “en”).

Where is my audio data processed?

The server sends audio to OpenAI’s API. No local storage or processing is described in the README.

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