Indian Movies MCP Agent
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- AlicenseBqualityDmaintenanceProvides 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.8MIT
- FlicenseAqualityDmaintenanceProvides Claude AI with direct access to The Movie Database (TMDB) for searching movies, trending content, and reviews through natural language.6-
- AlicenseBqualityDmaintenanceEnables 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.4112 npm4MIT
- FlicenseNot gradedqualityDmaintenanceEnables searching for movies, checking Google Calendar for conflicts, and booking tickets with seat type and INR pricing, all through natural conversation. Supports demo mode without API keys.-
- FlicenseNot gradedqualityDmaintenanceProvides 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-
- FlicenseNot gradedqualityBmaintenanceEnables 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
Scored across 3 tools
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.
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.
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.
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.