Box Pydantic AI FAQs

Question 1

What are the prerequisites for running this demo?

Accepted Answer

You need a local copy of the MCP server (mcp-server-box), a configured Box platform app registered with your Box instance, and Python with necessary libraries installed.

Question 2

How do I install the necessary libraries?

Accepted Answer

Navigate to the project directory in your command line, create a virtual environment using `uv venv`, and then install the dependencies using `uv pip install -r pyproject.toml`.

Question 3

What is Box Pydantic AI?

Accepted Answer

Box Pydantic AI is a demonstration project showcasing how to use Pydantic AI agents with the Box MCP server for secure access to content stored in Box.

Question 4

What is the Box MCP server?

Accepted Answer

The Box MCP (Metadata Consistency Platform) server provides a secure and compliant way to access and manage content metadata within Box.

Question 5

Where do I configure the MCP server path?

Accepted Answer

In the `policy_analyzer.py` file, update the `MCPServerStdio` command to point to your local MCP server directory.

Box Pydantic AI

About

Key Features

Use Cases