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YouTube Captions

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Developer Tools
Web Scraping & Data Collection
API Development

Fetches YouTube transcripts and subtitles using yt-dlp, providing paginated responses for integration with MCP hosts.

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This tool acts as an MCP server, facilitating the retrieval of YouTube video transcripts and raw subtitles. It leverages yt-dlp to access caption data, offering both plain text and structured SRT/VTT formats. Designed with flexibility in mind, it supports communication over stdio for local applications like Cursor, and HTTP/SSE for remote deployments, including via Docker. Its pagination feature ensures seamless handling of extensive transcripts, making it ideal for large-scale data processing or integration with AI assistants and other applications that require structured access to YouTube content.

Key Features

01Fetches cleaned plain text transcripts or raw SRT/VTT subtitles
02Supports official and auto-generated subtitles across multiple languages
03Provides pagination for safely handling large responses
04Includes optional authentication and allowlists for production HTTP deployments
050 GitHub stars
06Docker-first design for easy local and remote deployment

Use Cases

01Enable AI assistants (e.g., Cursor, Claude Code) to summarize YouTube videos
02Integrate YouTube caption fetching into custom development workflows
03Provide subtitles for data analysis or content creation applications