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OpenAI Speech-to-Text transcriptions MCP Server

@Ichigo3766

リポジトリ

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

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

基本情報

カテゴリ

メディアとデザイン

ライセンス

MIT

ランタイム

node

トランスポート

stdio

公開者

Ichigo3766

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": ""
      }
    }
  }
}

ツール

1

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

FAQ from OpenAI Speech-to-Text transcriptions MCP Server

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.

コメント

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