drakonkat/wizzy-mcp-tmdb
Wizzy MCP TMDB is an open-source Model Context Protocol (MCP) server that bridges AI assistants and The Movie Database (TMDB) API. It implements the MCP standard, allowing language models like Claude to make structured requests for movie, TV show, and person data through a defined set of tools. The server handles authentication with TMDB, processes queries, and returns clean JSON responses that the AI can interpret. It supports searching by title, retrieving detailed information, discovering popular content, and filtering results. Built as a Node.js application, the server is designed to run locally or on any infrastructure that supports Node.js. It can be configured with a TMDB API key and added to MCP-compatible clients such as Claude Desktop, enabling seamless integration. The project includes standard open-source elements like a contribution guide, code of conduct, and test structure. The server exposes multiple MCP tools covering the core TMDB endpoints. Users can search for movies or TV shows, get details by ID, look up cast and crew, and retrieve person biographies. It translates natural language queries from the AI into API calls, then formats the response for the model to consume. This makes movie-related conversations much more dynamic and factual. Wizzy MCP TMDB is hosted on GitHub under the drakonkat account, with version history and community contribution support. It is distributed under an open-source license, encouraging adaptations and extensions. The project is actively maintained, with the latest updates focusing on MCP client integration guides.
- Category
- Developer Tools
- Pricing
- Open Source
Problem solved
AI assistants lack direct, real-time access to film and TV information. Users frequently ask about movies, actors, or show details, but models often hallucinate answers or rely on outdated training data. This MCP server solves that problem by giving language models a structured, authenticated interface to TMDB. It enables accurate, up-to-date responses about titles, cast, release dates, plot summaries, ratings, and more.
Use cases
- Answer questions about a movie's plot, cast, or release year (e.g., 'What is the plot of Inception?')
- Search for films directed by a specific person (e.g., 'Show me movies directed by Christopher Nolan')
- Retrieve details about a TV show, including number of seasons and episode list
- Find popular or trending movies for recommendations
- Look up actor biographies and filmography
- Provide AI-powered trivia or comparative information about films
Audience
- Developers
- ML Engineers
Pros
- Implements the standardized MCP protocol for easy AI integration
- Open source and community-driven
- Simple setup with just a TMDB API key and client configuration
- Extensible: can be added to any MCP-compatible assistant
- Provides up-to-date movie and TV data, reducing AI hallucinations
Cons
- Requires a TMDB API key and adherence to TMDB's terms of service
- Dependent on external TMDB API availability and rate limits
- No graphical interface; interaction is entirely through MCP tools
Official website: https://github.com/drakonkat/wizzy-mcp-tmdb
Canonical LambdaBase page: https://www.lambdabase.com/tools/drakonkat-wizzy-mcp-tmdb