The YouTube Transcript Extractor serves as a bridge between video content and AI assistants, allowing them to instantly access the spoken words within public YouTube videos. By turning video audio into text, it empowers AI tools to summarize long tutorials, find specific information in interviews, or analyze content without requiring the user to manually copy and paste transcripts. It essentially gives an AI the ability to "read" what is happening in a video, making video content as searchable and actionable as any standard text document. Under the hood, the server is built using TypeScript and the Model Context Protocol (SDK), ensuring a reliable and type-safe environment for developers. It integrates seamlessly with popular AI interfaces like Cursor and Claude Desktop,…