This project provides a Python script that exposes a set of powerful tools for querying and analyzing a MongoDB movie database (specifically the
Connect Movie MCP to Claude, Cursor or any other MCP client and it stops being a tab you switch to. 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 dataset) using the fastmcp library. These tools are designed to be easily. The movie mcp mcp server is what makes that connection.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Optionally — The Optionally tool exposed by this serverfind_movies — Finds movies based on a variety of criteria, with options for sorting and limiting resultscount_movies — The count_movies tool exposed by this serverget_average_rating — Calculates the average rating for movies matching the criteria, for a specific rating typeBecause this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.
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.
This sits in the database access group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Movie MCP's toolset — Optionally, find_movies, count_movies and 1 more — is a fair guide to whether it matches your workflow. It is maintained by patw; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Movie MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Optionally | The Optionally tool exposed by this server. |
| find_movies | Finds movies based on a variety of criteria, with options for sorting and limiting results. |
| count_movies | The count_movies tool exposed by this server. |
| 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>"
]
}
}
}Configuration as documented by the project. Restart the client after saving.
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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