What does gradio-transcript-mcp transcribe?
It transcribes audio and video from a provided URL into English text. It downloads the media, converts it to WAV, and runs Whisper transcription.
@bsmnyk
基本情報
Gradio demo cum MCP server to generate transcripts from Audio/Video
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": {
"gradio-transcript-mcp": {
"command": "python",
"args": [
"app.py"
]
}
}
}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。
gradio-transcript-mcp is a Gradio application configured as an MCP (Model Control Protocol) server that transcribes audio and video from URLs into text. It uses OpenAI's Whisper and ffmpeg (via yt-dlp) to download, convert, and transcribe multimedia content, enabling MCP clients like Cline to process media inputs efficiently.
Clone the repository, install dependencies with pip install -r requirements.txt, and run python app.py to start the local Gradio web interface and MCP server. The server exposes a transcribe_url tool, accessible at http://127.0.0.1:7860/gradio_api/mcp/sse. For clients that don't support SSE directly, use mcp-remote as an intermediary. A hosted version is also available at https://bismay-gradio-transcript-mcp.hf.space/gradio_api/mcp/sse.
transformers librarytranscribe_urlIt transcribes audio and video from a provided URL into English text. It downloads the media, converts it to WAV, and runs Whisper transcription.
Python, `gradio[mcp]`, `yt-dlp`, `transformers`, `torch`, and ffmpeg. The `ffmpeg_setup.py` script ensures ffmpeg is available.
Transcription happens on the server (local or Hugging Face Spaces). No data is stored permanently; the tool returns the transcription as a string.
Use the SSE URL printed when running the app (e.g., `http://127.0.0.1:7860/gradio_api/mcp/sse`). Configure your client with that URL. For clients not supporting SSE directly, use `npx mcp-remote` as an intermediary.
No authentication is mentioned. The server runs locally or on a public Hugging Face Space without built‑in auth.

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