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by setkyar • Media & Multimedia
An MCP server that downloads, lists, and formats YouTube video subtitles and metadata for AI assistants.
Download and format subtitles from a given YouTube video URL for downstream analysis or summarization.
List all available subtitle languages for a video to choose the best language or request translations.
Video metadata (title, duration, upload date) alongside subtitles to provide context-aware summaries or citations.
This server exposes MCP tools to retrieve YouTube video metadata, list available subtitle languages, and download or translate subtitles using yt-dlp and ffmpeg. It's designed to integrate with MCP-compatible clients (like Claude Desktop) so assistants can fetch, analyze, summarize, or translate subtitles programmatically. The project includes Docker support for easy deployment and uses yt-dlp for robust subtitle extraction.
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