Skip to main content
Glama
sudhish

Indian Movies MCP Agent

by sudhish

Related Servers

Alternatives to Indian Movies MCP Agent

No user-submitted related servers found.

    Related Servers

    • A
      license
      B
      quality
      D
      maintenance
      Provides intelligent OTT content recommendations based on IMDB ratings, platform availability, and genre preferences, enabling users to search and filter movies and series across multiple streaming services.
      8
      MIT
    • F
      license
      A
      quality
      D
      maintenance
      Provides Claude AI with direct access to The Movie Database (TMDB) for searching movies, trending content, and reviews through natural language.
      6
      -
    • A
      license
      B
      quality
      D
      maintenance
      Enables AI assistants like Claude to interact with The Movie Database (TMDB) API, providing capabilities for searching movies, retrieving movie details, and generating customized movie reviews and recommendations.
      4
      112 npm
      4
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Provides movie listings, showtimes, and personalized recommendations for Amsterdam cinemas by scraping filmladder.nl, with support for filtering by date, cinema, rating, and preferred showtimes.
      1
      -
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables users to query PVR/INOX cinema showtimes, live seat availability, and booking status across India, and to set up watch alerts for when shows become bookable or desired seats free up.
      -

    TDQS

    B3.1/5.0

    Scored across 3 tools

    Disambiguation4/5

    The tools are mostly distinct with clear purposes: get_movie_recommendations for filtered recommendations, get_random_movie for random selection, and search_movie for specific title lookup. However, get_movie_recommendations and get_random_movie could be slightly confused as both provide recommendations, though one is filtered and the other random.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with snake_case (get_movie_recommendations, get_random_movie, search_movie). The naming is predictable and readable throughout the set.

    Tool Count3/5

    With only 3 tools, the set feels thin for a movie recommendation domain. While it covers basic recommendation and search functions, it lacks operations for browsing genres, languages, or detailed movie information, which might limit agent effectiveness.

    Completeness2/5

    The tool surface is significantly incomplete for an Indian movies domain. There are no tools for getting movie details (e.g., plot, cast, ratings), filtering by criteria beyond basic preferences, or managing user interactions (e.g., saving favorites). This will likely cause agent failures in comprehensive movie-related tasks.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues