This project provides a Python script that exposes a set of powerful tools for querying and analyzing a MongoDB movie database (specifically the
This project provides a Python script that exposes a set of powerful tools for querying and analyzing a MongoDB movie database (specifically the sample_mflix
Before running this project, ensure you have the following: * Python 3.7+: Download Python * MongoDB Instance: A running MongoDB instance (local or cloud-hosted like MongoDB Atlas). * sample_mflix Dataset: The sample_mflix database and its movies collection must be loaded into your MongoDB instance.
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| Tool | What it does |
|---|---|
| find_movies | Finds movies based on a variety of criteria, with options for sorting and limiting results. |
| count_movies | |
| get_average_rating | Calculates the average rating for movies matching the criteria, for a specific rating type. |
{
"mcpServers": {
"Movie Database": {
"command": "uv",
"args": [
"run",
"--with",
"fastmcp, pymongo",
"fastmcp",
"run",
"<path to>/movie-mcp/movie-mcp.py",
"<mongo connection string URI>"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Before running this project, ensure you have the following: * Python 3.7+: Download Python * MongoDB Instance: A running MongoDB instance (local or cloud-hosted like MongoDB Atlas). * sample_mflix Dataset: The sample_mflix database and its movies collection must be loaded into your MongoDB instance.
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