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Related Servers

Alternatives to movie-rec

No user-submitted related servers found.

    Related Servers

    • F
      license
      Not graded
      quality
      D
      maintenance
      Tracks movies, books, and TV shows with ratings and preferences, providing intelligent cross-media recommendations. Automatically fetches metadata from OMDB, Google Books, and TMDB to help manage watchlists and analyze viewing patterns.
      1
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      Integrates with The Movie Database (TMDB) API to provide movie information, search capabilities, and recommendations.
      11 npm
      74
      MIT
    • A
      license
      B
      quality
      B
      maintenance
      Enables AI assistants to search movies and TV shows, compare ratings across multiple sources, check streaming availability, and manage lists, watchlists, ratings, and watch history through natural language.
      33
      2
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables movie and TV lookups through twelve read-only tools: title and person search, full details, episode lists, discovery by genre/year/language/streaming service, trending and recommendations, where to watch by country, and merged critic/audience scores from IMDb, Rotten Tomatoes, Metacritic, Letterboxd and others. Runs as a local stdio server or a containerized Streamable HTTP service with bearer auth.
      MIT

    TDQS

    B3.3/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: resolving titles, adding evidence, retrieving context, generating candidates, recording recommendations, fetching history, recording reactions, and discovering titles. No two tools appear to overlap in functionality, and the descriptions provide strong differentiation.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern: resolve_title, add_evidence, get_evidence_context, get_candidates, record_recommendations, get_recommendation_history, record_reaction, discover_titles. The pattern is systematic and predictable, making tool selection straightforward.

    Tool Count5/5

    With 8 tools, the server is well-scoped for its purpose of movie recommendation and user feedback. Each tool addresses a distinct part of the workflow without redundancy, and the count is within the typical well-scoped range (3-15).

    Completeness4/5

    The tool set covers the core lifecycle: resolving user inputs, adding evidence, generating candidates, recording recommendations, retrieving history, and capturing reactions. Minor gaps exist (e.g., no explicit delete/update for evidence or reactions), but these are not critical for the main recommendation flow and can be worked around.

    Maintenance

    ActivityStale
    ResponsivenessNo recent community issues