Enables large language models to seamlessly search, download, and extract information from YouTube music videos.
LLM Jukebox functions as a Model Context Protocol (MCP) server, designed to equip large language models with the ability to interact directly with YouTube's vast music library. It empowers LLMs to efficiently search for music by artist, song, or album, download chosen videos as high-quality MP3 audio files, and extract comprehensive metadata like title, uploader, and duration. Featuring asynchronous operations for non-blocking downloads and detailed logging for debugging, LLM Jukebox provides a robust and integrated solution for bringing rich music interaction capabilities to conversational AI and other LLM-powered applications.