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by diasm3 • Analytics & Monitoring
An MCP server that extracts YouTube video transcripts, metadata, comments, and comment replies for analysis and summarization.
Extract full or language-specific transcripts from a YouTube video to perform summarization or content analysis.
Collect video metadata (title, views, publish date, channel) to enrich search results or build content catalogs.
Fetch and paginate YouTube comments and comment replies (via SerpAPI) for sentiment analysis or moderation workflows.
This server provides tools to fetch YouTube transcripts/subtitles, video information, top-level comments and comment replies (using SerpAPI). It runs as a Model Context Protocol (MCP) service that communicates over stdin/stdout and can be integrated with agents like Claude. The server benefits workflows that need programmatic access to YouTube text content for summarization, search, or downstream NLP tasks. Comment retrieval relies on a SerpAPI key for the YouTube scraping endpoints.
Extract transcript/subtitles from a YouTube video. Returns full text with video metadata. Supports multiple languages and optional timestamps.
Get YouTube video metadata: title, views, publish date, channel, comment count, and pagination tokens for comments.
Fetch YouTube video comments with pagination. Supports sorting by relevance or time. Use nextPageToken for pagination.
Fetch replies to a specific YouTube comment. Use repliesToken from getComments response.
Search YouTube for videos, channels, and playlists. Returns results with thumbnails, views, and channel info.
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