Movie Database
bypatw
0Offers programmatic access to a MongoDB movie database, enabling efficient querying and analysis.
About
This Python-based FastMCP server provides a robust set of tools for interacting with the `sample_mflix` movie dataset on MongoDB Atlas. It's designed to offer structured, programmatic access to movie information, making it ideal for integration with large language models, AI agents, or other systems requiring comprehensive movie search, counting, and rating calculations directly from a database.
Key Features
- Flexible data retrieval with options to specify fields and control sorting.
- Quickly count movies matching various criteria.
- LLM-friendly API designed for easy consumption by large language models.
- Calculate average IMDb, Metacritic, or Rotten Tomatoes ratings for filtered movie sets.
- Comprehensive movie search by title, genre, actors, directors, year, and ratings.
- 0 GitHub stars
Use Cases
- Providing programmatic database access for custom movie analysis applications.
- Enabling LLMs to query and analyze movie data from MongoDB.
- Powering AI agents with structured access to film information.
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