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    ✨ 为你的 AI 助手装上 B 站的眼睛:一键提取视频字幕与热门评论,助力高效信息总结 🚀 ✨ Equip your AI assistant with "Bilibili Eyes": One-click extraction of video subtitles and popular comments for efficient information summarization 🚀
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    GPL 3.0
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    The Atlas Docs MCP server provides technical documentation of libraries and frameworks for AI assistants, processes the official documentation into Markdown versions suitable for LLMS, and is applicable to McP-compatible LLM clients such as Cursor, Cline, Windsurf, etc.
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    Apache 2.0
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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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    A WHOIS domain name query server based on Model Context Protocol (MCP), supporting the resolution of over 877 top-level domains and 169 country code top-level domains, and providing comprehensive domain name registration information query functions.
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    Apache 2.0
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    Enables AI assistants to control Spotify playback, search for music, manage playlists, and access library information through the Spotify API. Requires Spotify Premium for playback control features.
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    Provides access to the SonoVault music metadata API, enabling search and retrieval of information about 90M+ tracks, artists, labels, and releases, including ISRC, ISWC, and cross-platform IDs.
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    MIT
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    Enables AI language models to interact with YouTube content through the YouTube Data API, including retrieving video details, transcripts, channel information, playlists, and searching videos with enhanced responses that include direct URLs.
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    Provides access to The Movie Database (TMDB) API, enabling users to search for movies, TV shows, and people, get detailed information, discover content with advanced filters, and retrieve recommendations.
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    MIT
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    A lightweight service that provides cross conversation temporary information storage and retrieval for AI agents, supporting step-by-step processing of complex tasks.
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    Apache 2.0