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gradio-transcript-mcp: A Gradio MCP Server for Audio/Video Transcription from URLs

@bsmnyk

リポジトリ

gradio-transcript-mcp: A Gradio MCP Server for Audio/Video Transcription from URLs について

Gradio demo cum MCP server to generate transcripts from Audio/Video

#gradio#transcription#audio-video

基本情報

カテゴリ

メディアとデザイン

ランタイム

python

トランスポート

stdio

公開者

bsmnyk

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": {
    "gradio-transcript-mcp": {
      "command": "python",
      "args": [
        "app.py"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

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。

概要

What is gradio-transcript-mcp?

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.

How to use gradio-transcript-mcp?

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.

Key features of gradio-transcript-mcp

  • Transcribes audio/video from any URL into English text
  • Uses OpenAI's Whisper model via the transformers library
  • Converts media to WAV format before transcription
  • Dynamic device selection (CPU or GPU)
  • Supports local and hosted (Hugging Face Spaces) deployment
  • Exposes a single MCP tool: transcribe_url

Use cases of gradio-transcript-mcp

  • Transcribe a podcast, lecture, or meeting from a direct URL
  • Integrate multimedia transcription into MCP‑powered workflows (e.g., Cline)
  • Convert video content to text for indexing or analysis
  • Automate transcription of user‑submitted media links

FAQ from gradio-transcript-mcp

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.

What are the runtime dependencies?

Python, gradio[mcp], yt-dlp, transformers, torch, and ffmpeg. The ffmpeg_setup.py script ensures ffmpeg is available.

Where does the transcribed data live?

Transcription happens on the server (local or Hugging Face Spaces). No data is stored permanently; the tool returns the transcription as a string.

How do I connect an MCP client?

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.

Does it require authentication?

No authentication is mentioned. The server runs locally or on a public Hugging Face Space without built‑in auth.

コメント

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