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

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

@bsmnyk

代码仓库

关于 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

基本信息

分类

媒体与设计

运行时

python

传输方式

stdio

发布者

bsmnyk

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.

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