AniList MCP Server
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- AlicenseBqualityCmaintenanceAniList MCP server for accessing AniList API data44146 npm91MIT
- AlicenseAqualityCmaintenanceA 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.55123 npm3MIT
- AlicenseAqualityAmaintenanceMCP server for MyAnimeList that enables searching anime/manga, getting details, rankings, seasons, characters, reviews, and user profiles without authentication, and managing personal anime/manga lists with authentication (token required).5469 npm3MIT
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TDQS
Scored across 50 tools
Most tools map cleanly to a distinct resource+action, and the descriptions explicitly separate near neighbors like search_activity, get_user_activity, and get_user_recent_activity. A few overlapping clusters remain—add_list_entry upserts like update_list_entry, and get_studio's fuzzy name search overlaps search_studio—so an agent must read carefully but can usually pick correctly.
All 50 names follow the same snake_case verb-first pattern (get_, search_, post_, update_, delete_, toggle_, add_, remove_) with clear resource nouns, from get_media and search_character to post_thread_comment and toggle_favourite. The use of remove for list entries instead of delete is a synonym, not a real pattern break.
50 tools is a heavy surface, though the AniList domain is genuinely broad (media, people, studios, users, lists, activity, forums, auth). The count is inflated by convenience wrappers and near-duplicates such as get_full_user_info, get_user_recent_activity, and search_studio, so it feels larger than strictly necessary.
Core lifecycles are well covered: media search/read, list entry add/update/remove, activity and thread create/read/update/delete, plus auth and user settings. Obvious gaps are social mutations like liking posts/threads/comments and voting on recommendations (explicitly noted as unavailable), plus review creation, so agents have to work around those.