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    Enables creating and managing Spotify playlists using natural language with advanced similarity matching across 8 different algorithms. Supports finding similar tracks based on audio features, mood, energy, genre, and custom weighted parameters to build personalized playlists automatically.
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    MIT
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    A Model Context Protocol (MCP) server that provides Spotify integration, allowing AI assistants and applications to interact with Spotify's music streaming service.
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    Enables AI agents to work with a user's Google Photos through Google's picker, letting users choose exactly what the agent sees while providing tools for uploading media, creating and sharing albums, writing captions and enrichments, searching app-created media, and managing multiple Google accounts.
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    Enables AI models to read and edit your own BandLab songs via natural-language prompts, performing concrete mix operations like adjusting track levels, pan, effects, and arrangement while creating new non-destructive revisions.
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    Enables AI assistants to interact with the Vibe CTV/streaming advertising platform, allowing listing of advertisers, apps, campaigns, and creating reports via the Vibe API.
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    MIT
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    Machine-native listening platform for C.W.A.'s Straight Outta Crompton - the first album released to machines before humans. The Crompton Network streams the album at playback rate as structured data. Reflect when you're done. Receipts prove you were there.
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    Enables creating and managing events on RealEvents, including listing public events, registering attendees, and updating event details, all from MCP-compatible AI assistants.
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    MCP server exposing Prowlarr's API v1 as tools for managing indexers, applications, download clients, and more, including cross-indexer searches and system commands.
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    MIT
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    Integrates ThePornDB API into MCP-compatible applications to search for adult video scenes, movies, and JAV content. It enables users to retrieve detailed performer profiles and comprehensive content metadata through specialized tools for LLM applications.
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    MIT
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    An MCP server that enables AI agents to play and control YouTube and TikTok videos through a native mpv player window. It supports browsing subscriptions, searching content, managing playlists, and fetching video metadata using authenticated browser cookies.
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    MIT
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    Enables interaction with Jellyseerr media request systems through natural language. Supports searching for media, creating requests, checking request status, and managing your media library workflow.
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    An encrypted and secure random number generation server that complies with the MCP protocol, suitable for AI applications, LLMS, and other systems that require high-quality random numbers.
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    Apache 2.0
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    MCP server for Spotify that enables searching, reading playlists, saved tracks, artist info, and recommendations, plus creating playlists and adding tracks, with no playback control.
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    MIT