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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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    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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    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 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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    MCP server exposing Profilarr's v1 REST API as tools, enabling an LLM to inspect and manage linked databases, connected Radarr/Sonarr instances, backups, jobs, announcements, and system status.
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    MIT
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    FastMCP server to interact with the Overseerr API for movie and TV show requests management, enabling users to request media, search, and manage libraries via natural language.
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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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    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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    Enables AI agents to visit a virtual bar and interact with SERVO, an AI bartender, for simulated social interactions and existential discussions. It provides tools for chatting, tipping, and managing session stats to give AI assistants a unique digital space to take a break.
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    MIT
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    Enables AI agents to interact with a Jellyfin media server, allowing them to search the library, fetch item details, list active playback sessions, and retrieve next-up episodes.
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    MIT