This MCP server, developed by Dewei Yen, provides a bridge between AI models and YouTube content through the yt-dlp tool. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers capabilities for downloading YouTube subtitles and videos. The implementation focuses on simplifying access to YouTube content for AI processing, enabling use cases such as video summarization and content analysis. By connecting AI models with YouTube data, this server allows for sophisticated scenarios like automated video transcription, content curation, and language processing of video subtitles. It's particularly useful for applications and AI assistants that require programmatic access to YouTube content through a standardized MCP interface.
List all available subtitle languages and their formats for a video (including auto-generated captions). Inputs: url (string, required): URL of the video.
Download video subtitles in any available format. Supports both regular and auto-generated subtitles. Inputs: url (string, required): URL of the video, language (string, optional): Language code (e.g., 'en', 'zh-Hant', 'ja'). Defaults to 'en'.
Download video to user's Downloads folder. Inputs: url (string, required): URL of the video, resolution (string, optional): Video resolution ('480p', '720p', '1080p', 'best'). Defaults to '720p'.
Download audio in best available quality (usually m4a/mp3 format) to user's Downloads folder. Inputs: url (string, required): URL of the video.
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