IMDb MCP Server

IMDb MCP Server

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This MCP server offers tools to search, retrieve, and analyze movie and TV show data using IMDb API, supporting efficient AI responses and structured data handling.
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Mar 30 2025
IMDb MCP Server
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What is IMDb MCP Server?

The IMDb MCP Server functions as a comprehensive middleware, allowing AI agents to access detailed IMDb data on movies, TV shows, actors, directors, and more through a set of specialized tools. It supports paginated queries for efficient data retrieval, deployed via Docker or directly with Python, enabling seamless integration into various environments. Its focus on smart pagination and in-memory caching makes it suitable for AI-driven applications requiring quick, relevant movie and TV show information.

Who will use IMDb MCP Server?

  • AI developers
  • Data analysts
  • Content creators
  • Movie enthusiasts
  • Application developers

How to use the IMDb MCP Server?

  • Step1: Set up API key by subscribing to IMDb API on RapidAPI.
  • Step2: Install dependencies via pip.
  • Step3: Choose deployment method (Docker or Python).
  • Step4: Run the server with environment variables set.
  • Step5: Use provided tools to query IMDb data in your application.

IMDb MCP Server's Core Features & Benefits

The Core Features
  • search_imdb
  • get_imdb_details
  • get_directors
  • get_cast
  • get_writers
  • get_types
  • get_genres
  • get_countries
  • get_languages
  • get_top_250_movies
  • get_most_popular_movies
  • get_top_250_tv_shows
  • get_most_popular_tv_shows
  • get_upcoming_releases
  • get_top_rated_malayalam_movies
  • get_upcoming_indian_movies
  • get_trending_tamil_movies
  • get_rated_telugu_movies
  • get_top_rated_indian_movies
The Benefits
  • Efficient data retrieval via pagination
  • Reduced API calls with caching
  • Easy integration with AI agents
  • Supports detailed movie/TV show queries
  • Customizable cache and pagination settings

IMDb MCP Server's Main Use Cases & Applications

  • Developing AI chatbots for entertainment services
  • Building movie recommendation systems
  • Content management for streaming platforms
  • Data analysis for film industry trends
  • Integrating IMDb data into mobile apps

FAQs of IMDb MCP Server

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