YouTube DLP

Extracts YouTube video metadata, subtitles in multiple languages, and top comments using yt-dlp with proxy support for content analysis and accessibility workflows.

This MCP server provides YouTube video analysis and content extraction using yt-dlp, enabling AI assistants to retrieve detailed video metadata, download subtitle content in multiple languages, and extract top comments sorted by engagement. Built by Robin with Python and featuring proxy support for restricted environments, it offers three core tools: video information extraction for metadata like title, duration, view counts, and available formats; subtitle and caption retrieval with automatic parsing and word count analysis for both manual and auto-generated captions; and top comment extraction with author identification, like counts, and special badges for creators and favorited comments. The implementation features asynchronous processing to avoid blocking, intelligent subtitle format detection and parsing, comprehensive language support with human-readable names, and detailed response formatting with previews and statistics, making it valuable for content analysis, research workflows, accessibility applications, and any use case requiring structured access to YouTube video data without manual browsing.