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gradio-transcript-mcp: A Gradio MCP Server for Audio/Video Trans…

@bsmnyk

Repository

Basic information

Category

Media & Design

Transports

stdio

Author

bsmnyk

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

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

#gradio#transcription#audio-video

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

Add this server to your MCP-compatible client using the configuration below.

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

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

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

1

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.

2

What are the runtime dependencies?

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

3

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.

4

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.

5

Does it require authentication?

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

Comments

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