Skip to main content
Glama
sudhish

Indian Movies MCP Agent

by sudhish

get_movie_recommendations

Find Indian movie recommendations by filtering with genre, language, rating, or release year preferences.

Instructions

Get Indian movie recommendations based on genre, language, or rating preferences

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
genreNoPreferred genre (e.g., Comedy, Drama, Action, etc.)
languageNoPreferred language (e.g., Hindi, Telugu, Tamil, etc.)
min_ratingNoMinimum rating (0-10)
year_afterNoMovies released after this year

Implementation Reference

  • Main handler for get_movie_recommendations tool in stdio MCP server. Filters the indianMovies array based on genre, language, min_rating, and year_after parameters, logs each step, and returns a text content response with JSON-stringified filtered movies.
    case 'get_movie_recommendations': { log('=== EXECUTING get_movie_recommendations TOOL ==='); log('Processing movie recommendations request with filters...'); let filteredMovies = [...indianMovies]; log('Starting with total movies:', { count: filteredMovies.length }); // Filter by genre if (args.genre) { log('=== APPLYING GENRE FILTER ==='); log('Requested genre:', args.genre); const beforeCount = filteredMovies.length; filteredMovies = filteredMovies.filter(movie => movie.genre.some(g => g.toLowerCase().includes(args.genre.toLowerCase())) ); log('Genre filter results:', { before: beforeCount, after: filteredMovies.length, filtered_out: beforeCount - filteredMovies.length }); log('Remaining movies after genre filter:', filteredMovies.map(m => m.title)); } // Filter by language if (args.language) { log('=== APPLYING LANGUAGE FILTER ==='); log('Requested language:', args.language); const beforeCount = filteredMovies.length; filteredMovies = filteredMovies.filter(movie => movie.language.toLowerCase() === args.language.toLowerCase() ); log('Language filter results:', { before: beforeCount, after: filteredMovies.length, filtered_out: beforeCount - filteredMovies.length }); log('Remaining movies after language filter:', filteredMovies.map(m => m.title)); } // Filter by minimum rating if (args.min_rating) { log('=== APPLYING RATING FILTER ==='); log('Minimum rating requested:', args.min_rating); const beforeCount = filteredMovies.length; filteredMovies = filteredMovies.filter(movie => movie.rating >= args.min_rating ); log('Rating filter results:', { before: beforeCount, after: filteredMovies.length, filtered_out: beforeCount - filteredMovies.length }); log('Remaining movies after rating filter:', filteredMovies.map(m => `${m.title} (${m.rating})`)); } // Filter by year if (args.year_after) { log('=== APPLYING YEAR FILTER ==='); log('Movies after year:', args.year_after); const beforeCount = filteredMovies.length; filteredMovies = filteredMovies.filter(movie => movie.year > args.year_after ); log('Year filter results:', { before: beforeCount, after: filteredMovies.length, filtered_out: beforeCount - filteredMovies.length }); log('Remaining movies after year filter:', filteredMovies.map(m => `${m.title} (${m.year})`)); } log('=== FINAL FILTERING RESULTS ==='); log('Total movies found:', filteredMovies.length); log('Final movie list:', filteredMovies.map(m => `${m.title} (${m.year}) - ${m.language}`)); const response = { content: [ { type: 'text', text: JSON.stringify(filteredMovies, null, 2), }, ], }; log('=== SENDING get_movie_recommendations RESPONSE ==='); log('Response structure:', { content_type: 'text', movie_count: filteredMovies.length, response_size_chars: JSON.stringify(filteredMovies).length }); log('Full response object:', JSON.stringify(response, null, 2)); return response; }
  • Input schema definition for the get_movie_recommendations tool provided in the ListToolsRequestSchema handler.
    name: 'get_movie_recommendations', description: 'Get Indian movie recommendations based on genre, language, or rating preferences', inputSchema: { type: 'object', properties: { genre: { type: 'string', description: 'Preferred genre (e.g., Comedy, Drama, Action, etc.)', }, language: { type: 'string', description: 'Preferred language (e.g., Hindi, Telugu, Tamil, etc.)', }, min_rating: { type: 'number', description: 'Minimum rating (0-10)', minimum: 0, maximum: 10, }, year_after: { type: 'number', description: 'Movies released after this year', }, }, }, },
  • Handler for get_movie_recommendations tool in HTTP MCP server. Similar filtering logic without logging, returns text content with JSON-stringified filtered movies.
    case 'get_movie_recommendations': { let filteredMovies = [...indianMovies]; if (args.genre) { filteredMovies = filteredMovies.filter(movie => movie.genre.some(g => g.toLowerCase().includes(args.genre.toLowerCase())) ); } if (args.language) { filteredMovies = filteredMovies.filter(movie => movie.language.toLowerCase() === args.language.toLowerCase() ); } if (args.min_rating) { filteredMovies = filteredMovies.filter(movie => movie.rating >= args.min_rating); } if (args.year_after) { filteredMovies = filteredMovies.filter(movie => movie.year > args.year_after); } return { content: [{ type: 'text', text: JSON.stringify(filteredMovies, null, 2) }], };
  • Input schema definition for the get_movie_recommendations tool in the HTTP server's ListToolsRequestSchema handler.
    name: 'get_movie_recommendations', description: 'Get Indian movie recommendations based on genre, language, or rating preferences', inputSchema: { type: 'object', properties: { genre: { type: 'string', description: 'Preferred genre' }, language: { type: 'string', description: 'Preferred language' }, min_rating: { type: 'number', description: 'Minimum rating (0-10)', minimum: 0, maximum: 10 }, year_after: { type: 'number', description: 'Movies released after this year' }, }, },
  • The indianMovies database array used by the get_movie_recommendations handler for filtering and recommendations.
    const indianMovies = [ { title: "3 Idiots", year: 2009, genre: ["Comedy", "Drama"], language: "Hindi", rating: 8.4, director: "Rajkumar Hirani", description: "Two friends search for their long lost companion while reflecting on their college days." }, { title: "Dangal", year: 2016, genre: ["Biography", "Drama", "Sport"], language: "Hindi", rating: 8.4, director: "Nitesh Tiwari", description: "Former wrestler Mahavir Singh trains his daughters to become world-class wrestlers." }, { title: "Baahubali 2", year: 2017, genre: ["Action", "Drama"], language: "Telugu", rating: 8.2, director: "S.S. Rajamouli", description: "Shiva discovers his legacy and must save his love and his kingdom." }, { title: "Taare Zameen Par", year: 2007, genre: ["Drama", "Family"], language: "Hindi", rating: 8.4, director: "Aamir Khan", description: "An eight-year-old boy is thought to be lazy but actually has dyslexia." }, { title: "Zindagi Na Milegi Dobara", year: 2011, genre: ["Adventure", "Comedy", "Drama"], language: "Hindi", rating: 8.2, director: "Zoya Akhtar", description: "Three friends on a bachelor trip discover themselves and their friendship." }, { title: "Lagaan", year: 2001, genre: ["Adventure", "Drama", "Musical"], language: "Hindi", rating: 8.1, director: "Ashutosh Gowariker", description: "Villagers accept a challenge from British officers to play cricket to avoid taxes." }, { title: "Queen", year: 2013, genre: ["Comedy", "Drama"], language: "Hindi", rating: 8.2, director: "Vikas Bahl", description: "A woman goes on her honeymoon alone and discovers herself." }, { title: "Tumhari Sulu", year: 2017, genre: ["Comedy", "Drama"], language: "Hindi", rating: 7.1, director: "Suresh Triveni", description: "A housewife becomes a radio jockey and finds her voice." }, { title: "Andhadhun", year: 2018, genre: ["Crime", "Thriller"], language: "Hindi", rating: 8.2, director: "Sriram Raghavan", description: "A blind pianist gets embroiled in multiple murders." }, { title: "Kumbakonam Gopals", year: 2015, genre: ["Comedy"], language: "Tamil", rating: 7.8, director: "PC Shekar", description: "A hilarious tale of a small-town family." } ];

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/sudhish/indian-movies-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server