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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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    Context7 MCP is a service that provides developers with the latest code documentation and examples. By integrating into the development environment, it ensures that the code generated by LLMS is based on the latest library documentation.
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    Apache 2.0
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    Enables AI agents to read, control, and orchestrate Singular.live live broadcast graphics compositions, including filling control nodes, animating sub-compositions, and running a newsroom rundown-to-graphics workflow.
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    Enables querying the Chzzk live-streaming platform for channels, live broadcasts, search, and VODs using natural language.
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    Production-grade Model Context Protocol server for YouTube intelligence. Extract, analyze, and automate insights from YouTube channels and videos using the official YouTube Data API v3. Built for AI agents, automation pipelines, and content intelligence workflows.
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    Provide access to Iconify's MCP server with over 200,000 open-source vector ICONS, supporting icon set browsing, searching, and obtaining multi-framework usage examples.
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    Apache 2.0
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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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    Enables interaction with Spotify through LLMs using OAuth2 authentication. Supports music search, playback control, playlist management, and device management through natural language commands.
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    Enables interaction with qBittorrent through its Web API to search for torrents using search plugins and manage downloads. Supports torrent searching, downloading via URLs/magnet links, and torrent management operations like pause, resume, and delete.
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    A Taiwan holiday query server based on Model Context Protocol (MCP), providing accurate information on scheduled holidays and make-up working days, supporting multiple query methods and integration with AI tools.
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    Apache 2.0
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    Enables AI assistants to manage TV series collections through Sonarr's API using natural language interactions. Supports searching, adding, updating, and deleting TV series with detailed control over quality profiles, season monitoring, and episode downloads.
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