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MCP Video2text

@yanyaoer

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

yanyaoer

提交者

yanyaoer

关于 MCP Video2text

Convert online video to text, read it quickly

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

MCP Video2text 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

MCP Video2text 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

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 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

常见问题

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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