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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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    An MCP server that lets an AI assistant control a Kodi media player over Kodi's JSON-RPC API — transport, volume, library search, queue management, and playback history. Written in C on the GLib stack.
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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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    Enables AI assistants to interact with the M-Team private torrent tracker API for searching resources, retrieving torrent details, and downloading torrent files. It provides a bridge for Model Context Protocol clients to manage and access private tracker content through natural language.
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    Enables AI clients to retrieve verified countdown event dates, semantics, and FAQ from Countdowns Online, allowing users to browse event categories and understand date contexts without API keys.
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    The MCP server offers the function of extracting images from local files and urls and converting them to base64 format, which is suitable for LLM analysis.
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    Apache 2.0
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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 MCP server that exposes the PokéAPI as tools and resources, allowing AI assistants to look up Pokémon data in real time without configuration.
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    A model context protocol server that provides Berlin administrative service data, allowing AI assistants to search and retrieve over 1000 public service information provided by Berlin authorities.
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    Apache 2.0
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    A MCP server that supports AI assistants to read and analyze PDF files, providing functions such as PDF metadata extraction, page range reading, and keyword search
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    Apache 2.0