This MCP server implementation provides a bridge to YouTube's transcript functionality, enabling AI assistants to fetch and analyze video transcripts. Developed by index01d, it utilizes TypeScript and integrates with the Model Context Protocol SDK and youtubei.js library. The server is designed for easy setup within the Claude Desktop environment and focuses on secure handling of YouTube data. It is particularly useful for applications requiring text analysis of video content, such as content summarization, keyword extraction, or sentiment analysis of YouTube videos. The implementation offers a streamlined approach to accessing YouTube transcripts, making it valuable for researchers, content creators, and AI-driven media analysis tools.
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This MCP server may use standard commands or have its functionality documented in the README. Check the Setup or README tabs for more information.
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