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by MalikElate • Search & Retrieval
An MCP server that extracts transcripts from public YouTube videos so AI agents can analyze, summarize, or index video content.
Extract full, timestamped transcripts from public YouTube videos by URL for summarization or content analysis.
Integrate YouTube transcript retrieval into Cursor or Claude Desktop via an MCP command server for seamless automation.
Convert video captions into searchable text for downstream tasks like topic extraction, Q&A, note-taking, or indexing.
This MCP server provides a simple command-style interface for AI assistants to fetch transcripts from public YouTube videos. It's built with TypeScript and uses the Model Context Protocol SDK and the youtube-transcript package for reliable caption extraction. The project is designed for easy integration with Cursor and Claude Desktop and is intended to streamline workflows that need video text for summarization, Q&A, or indexing. Setup is straightforward and requires only Node.js and the provided configuration instructions.
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