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"Understanding and Using JSON" matching MCP servers:

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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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    GPL 3.0
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    Tells you when your favourite football teams play and where to watch in Denmark, using data from TheSportsDB.com and built-in Danish broadcast hints.
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    MIT
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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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    A smart AniList integration for the Model Context Protocol that provides AI assistants with tools for searching media, managing watchlists, and analyzing user anime or manga tastes. It goes beyond basic API calls by offering personalized recommendations, taste comparisons, and natural language profile summaries.
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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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    MIT
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    MCP server to fetch xkcd comics (latest, random, by number, search) and display them with rich in-chat previews via the official JSON API and explainxkcd semantic search.
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    MIT
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    A Model Context Protocol (MCP) server that allows LLMs to search for movies and TV shows using the The Movie Database (TMDB) API.
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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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    MIT
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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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    Enables extraction and processing of YouTube video transcripts from individual videos, channels, and playlists. Supports transcript search, batch processing, multiple output formats (JSON, text, SRT, VTT), and bulk operations across multiple videos.
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    A comprehensive guide and template collection for building model Context Protocol (MCP) servers using FastMCP and deploying them to Google Cloud Run.
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    Enables AI-powered YouTube video analysis including transcript management, video summaries, chapter generation, keyword extraction, and playback control. Supports searching videos, retrieving channel/playlist information, and translating transcripts using Google Gemini AI.
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    A Model Context Protocol (MCP) server based on OpenRPC, providing JSON-RPC function invocation and method discovery services.
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    Apache 2.0