Integrates with The Movie Database (TMDB) to provide structured access to film and TV show data via the Model Context Protocol.

About

Leveraging the Model Context Protocol (MCP), this project offers a set of specialized tools for interacting with The Movie Database (TMDB). It simplifies complex queries, enabling users to efficiently retrieve information such as shared filmographies between actors or crew members, identify common collaborators across different movies, and filter filmographies by genre or job role. Designed for seamless integration, particularly with AI agents like Claude Desktop, it provides a structured and programmatic interface to TMDB's extensive entertainment database.

Key Features

  • Filter an actor's filmography by a given genre.
  • Discover shared filmography between two specified actors.
  • Identify collaborative projects between any two film professionals (cast or crew).
  • Find common cast and crew members across two specific movies.
  • 1 GitHub stars
  • Filter a crew member's filmography by job and genre.

Use Cases

  • Researching professional connections and collaborative histories within the film industry.
  • Enhancing AI agents with structured and queryable movie/TV show data.
  • Building applications that require detailed filtering and cross-referencing of entertainment data.