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MCP Video2text

@yanyaoer

Repository

Basic information

Category

Other

Transports

stdio

Author

yanyaoer

Submitted by

yanyaoer

About MCP Video2text

Convert online video to text, read it quickly

#mcp-video2text#video-to-text#transcription

MCP Video2text config

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

{
  "mcpServers": {
    "mcp-video2text": {
      "command": "uv",
      "args": [
        "run",
        "mcp-video2text"
      ]
    }
  }
}

MCP Video2text 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 Mcp Video2text?

Mcp Video2text is an MCP server that downloads online videos and transcribes their audio into text using Whisper models, enabling quick reading of video content. It is intended for users who want to extract text from publicly accessible online videos via any MCP client.

How to use Mcp Video2text?

Install the uv package manager and ffmpeg, then run uv pip install mcp-video2text[mlx] (recommended for Apple Silicon) or uv pip install mcp-video2text[cpp]. In your MCP client configuration, set the command to uv run mcp-video2text. The first execution downloads the Whisper model, which may take a few minutes; adjust your client’s timeout accordingly.

Key features of Mcp Video2text

  • Downloads online videos using yt-dlp
  • Transcribes audio to text with Whisper models
  • Supports MLX backend for Apple Silicon
  • Supports C++ backend (whisper.cpp)
  • Works with any MCP-compatible client

Use cases of Mcp Video2text

  • Transcribing educational or lecture videos for note-taking
  • Converting online talks or presentations to readable text
  • Extracting text from video tutorials for quick reference
  • Processing online videos where manual transcription is time‑consuming

Frequently asked questions

1

What dependencies are required?

You need `uv` (package manager) and `ffmpeg` installed. On macOS, install ffmpeg via `brew install ffmpeg`; on Linux, use `sudo apt install ffmpeg`.

2

Does the first run require a long wait?

Yes, the first execution downloads the Whisper model, which can take several minutes. It is recommended to increase the timeout setting in your MCP client.

3

Where does the audio/video data live?

Data is downloaded and processed locally on your machine. The server uses yt-dlp to fetch the video, then runs Whisper locally for transcription.

4

Which transports or authentication methods are supported?

The server communicates over stdio transport as a standard MCP server. No authentication is mentioned in the README.

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