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"YouTube Music" matching MCP servers:

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    A small MCP server that gives agents rich context about a YouTube video — its transcript, jump-to-the-moment deep links, metadata, and most-replayed moments — so they can answer questions, summarize, pull quotes, or surface highlights.
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    MIT
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    Enables searching, managing playlists, getting recommendations, and downloading music from TIDAL through natural language commands via the Model Context Protocol.
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    MIT
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    Provides production-grade tools for YouTube channel resolution, video metadata extraction, transcripts, and playlist management. It features a quota-aware, AI-friendly design that supports structured searching and listing of public YouTube data.
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    MIT
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    Enables users to generate AI-powered music videos by analyzing visual content to compose matching soundtracks using Google's Lyria model. The server automatically merges audio and media into playable video artifacts that can be rendered inline within MCP-compatible chatbots.
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    AI ad studio for agents: generate finished video, image, and UGC avatar ads for any brand (script, voiceover, music, brand end card), and research competitor ads across the Meta, Google, and LinkedIn ad libraries plus TikTok/Instagram/YouTube organic. 52 tools.
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    A production-ready MCP server for YouTube integration with intelligent caching. Enables searching videos, retrieving transcripts, analyzing channels, and monitoring live streams via natural language.
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    MIT
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    An MCP server that enables users to retrieve YouTube transcripts and perform video or channel searches without requiring Google API keys. It supports transcript chunking and provides tools for detailed video content analysis and channel metadata extraction.
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    Full Apple Music integration for Claude: search the catalog, browse your personal library, manage playlists, and get personalised recommendations.
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    A zero-config server that enables searching YouTube videos, retrieving transcripts, and browsing channel data without requiring API keys. It allows users to search across a creator's entire content library to find specific passages and timestamps.
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    MIT