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FilmMap MCP server

FilmMap MCP server

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    • A
      license
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      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
      A
      maintenance
      Enables MCP clients to query a local movie library and IMDb catalog using shared filters, and to inspect stats or update, add, and remove library entries. It supports natural-language questions about owned, watched, rated, and unwatched films.
      51 npm
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables an MCP client to run fully offline, natural-language searches over roughly 35,000 Wikipedia film synopses from 1901–2017, and to fetch individual film records filtered by title, year, genre or director. Tool results come back as citable Wikipedia sources, with no API key required.
      2
      MIT

    TDQS

    A4.1/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool answers a clearly distinct question: title-to-places, place-to-titles, name search, ranked lists, statistics, and proximity. Even the two question-shaped tools are unambiguous because one takes a production and the other takes a place.

    Naming Consistency3/5

    Naming mixes verb-led tools like search_productions and list_countries with question-style names like where_was_it_filmed and noun phrases like top_locations and locations_near. All names are readable and lowercased, but there is no single consistent convention across the set.

    Tool Count5/5

    Eight tools is well within the ideal range for a read-only atlas, and each tool covers a distinct workflow: lookup, search, ranking, statistics, and spatial queries. None feels redundant or extraneous.

    Completeness5/5

    The surface covers the core bidirectional lookup (production-to-locations and location-to-productions), title disambiguation, location search, country/global rankings, statistics, and nearby searches. For a read-only Wikidata-backed atlas there are no obvious dead ends or missing core operations.