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`.
@yanyaoer
基本信息
Convert online video to text, read it quickly
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"
]
}
}
}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。
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.
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.
You need `uv` (package manager) and `ffmpeg` installed. On macOS, install ffmpeg via `brew install ffmpeg`; on Linux, use `sudo apt install ffmpeg`.
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.
Data is downloaded and processed locally on your machine. The server uses yt-dlp to fetch the video, then runs Whisper locally for transcription.
The server communicates over stdio transport as a standard MCP server. No authentication is mentioned in the README.
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