Wizzy TMDB
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Provides an MCP server in JavaScript to search and retrieve movie, TV show, and person information from The Movie Database (TMDB) for AI clients.
About
The Wizzy TMDB project offers an MCP (Model Context Protocol) server, implemented in JavaScript, designed to empower AI clients with seamless access to The Movie Database (TMDB). It acts as a standardized gateway, allowing intelligent agents to search, retrieve, and interact with comprehensive data on movies, TV shows, and entertainment personalities, all through a structured and easy-to-use protocol.
Key Features
- Perform multi-search across movies, TV shows, and people using the `search_tmdb` tool.
- Fetch detailed information for specific items (movies, TV shows, persons) with the `get_tmdb_details` tool.
- Retrieve trending content across all media types using the `trending_all` tool.
- Implements the Model Context Protocol (MCP) for standardized AI client integration.
- Supports Node.js environments and uses a TMDB API key for data access.
- 0 GitHub stars
Use Cases
- Integrating dynamic entertainment content into MCP-compatible chat clients or IDEs.
- Developing applications that require programmatic access to TMDB data through a standardized protocol.
- Enabling AI assistants to provide real-time movie, TV show, or celebrity information.
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