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The media memory layer for AI agents and their humans. Your AI client gets 29 tools to search your collection, add items, update ratings, preview music, and find patterns across everything you've read, watched, and listened to.

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Status
Unhealthy
OAuth
Works in Glama
Last Tested
Transport
Streamable HTTP
URL

TDQS

A3.6/5.0

Scored across 29 tools

Disambiguation4/5

Most tools have distinct purposes, but there is some overlap between 'get_details' and 'show_item'—both provide item details, though 'show_item' is specifically for navigation. Tools like 'lookup_item' and 'search' are clearly separated by external vs. internal collection focus. A few tools like 'get_by_rating' and 'get_by_status' are similar but differentiated by their filtering criteria.

Naming Consistency4/5

The naming follows a consistent verb_noun pattern throughout, such as 'add_item', 'delete_item', 'edit_item', and 'update_status'. Minor deviations exist with 'random_pick' (adjective_verb) and 'preview_album' (verb_noun but slightly different structure), but overall the conventions are predictable and readable.

Tool Count3/5

With 29 tools, the count feels heavy for a media library management server, though it covers a broad domain including books, movies, anime, albums, and user profiling. While many tools are justified by specific functionalities, the high number may lead to complexity and potential overlap, making it borderline for typical scopes.

Completeness5/5

The tool set provides comprehensive coverage for media library management, including CRUD operations (add, edit, delete), status and rating updates, searching (internal, external, semantic), user profiling, and specialized features like audio previews and conversation search. No obvious gaps are present; it supports full lifecycle management and advanced analytics.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 2 tool updates
    • Addedset_priority
    • Addedset_progress
  2. 2 tool updates
    • Removedget_taste_profile
    • Removedrecommend
  3. 2 tool updates
    • Addedget_taste_profile
    • Addedrecommend
  4. 2 tool updates
    • Addedlog_event
    • Addedset_format
  5. 2 tool updates
    • Changedget_by_rating6 fields changed
      • changedInput schema / properties / max_rating / description
        Previous value: -"Maximum rating (1-5)"New value: +"Maximum rating (0.5-5, half-star increments)"
      • changedInput schema / properties / max_rating / minimum
        Previous value: -1New value: +0.5
      • addedInput schema / properties / max_rating / multipleOf
        Added value: +0.5
      • changedInput schema / properties / min_rating / description
        Previous value: -"Minimum rating (1-5)"New value: +"Minimum rating (0.5-5, half-star increments)"
      • changedInput schema / properties / min_rating / minimum
        Previous value: -1New value: +0.5
      • addedInput schema / properties / min_rating / multipleOf
        Added value: +0.5
    • Changedupdate_rating3 fields changed
      • changedInput schema / properties / rating / description
        Previous value: -"Rating from 1 to 5 stars"New value: +"Rating from 0.5 to 5 stars, in half-star increments (e.g. 3.5)"
      • changedInput schema / properties / rating / minimum
        Previous value: -1New value: +0.5
      • addedInput schema / properties / rating / multipleOf
        Added value: +0.5
  6. 1 tool update
    • Changedsearch_library1 field changed
      • changedInput schema / properties / min_similarity / description
        Previous value: -"Cosine similarity floor 0–1 (default 0.3)"New value: +"Cosine similarity floor 0–1 (default 0.20). Lower for mood/affect queries (e.g. \"something slow and quiet\" → 0.15), higher for specific-entity queries."
  7. 1 tool update
    • Addedsearch_library
  8. 1 tool update
    • Addedbulk_add_items
  9. 29 tool updates
    • First observedadd_item
    • First observedbulk_update_status
    • First observeddelete_item
    • First observededit_item
    • First observedexpand_research_scope
    • First observedget_by_rating
    • First observedget_by_status
    • First observedget_context
    • First observedget_details
    • First observedget_scope_info
    • First observedget_signals
    • First observedget_stats
    • First observedget_timeline
    • First observedget_track_previews
    • First observedget_user_profile
    • First observedlookup_item
    • First observedpreview_album
    • First observedrandom_pick
    • First observedre_enrich
    • First observedread_book_section
    • First observedsave_insight
    • First observedsearch
    • First observedsearch_book_content
    • First observedsearch_conversations
    • First observedsearch_youtube
    • First observedshow_item
    • First observedupdate_notes
    • First observedupdate_rating
    • First observedupdate_status

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    Connects AI assistants to a local music library for full-text search and filtering of tracks, albums, artists, genres, composers, and lyrics, plus listening analytics and metadata hygiene audits. Also lets users generate and populate playlists and control playback (play, pause, seek, volume) in a running player instance.
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