Pydantic AI and Box MCP
by box-community
This project is a demo showcasing the integration of Box MCP server with Pydantic AI agents for secure content access. It augments Pydantic AI agents with secure content in Box.
Last updated: N/A
What is Pydantic AI and Box MCP?
This demo project illustrates how to combine Pydantic AI agents with the Box MCP (Management of Content Permissions) server. It enables secure access to content stored in Box, allowing AI agents to interact with and analyze data while respecting established permissions and security policies.
How to use Pydantic AI and Box MCP?
To use this demo, you first need to set up a local instance of the Box MCP server following the instructions in the linked repository. Then, update the project's code to point to your local MCP server directory. Afterward, create a virtual environment, install the necessary libraries, and run the demo script.
Key features of Pydantic AI and Box MCP
Secure Content Access
Pydantic AI Agent Integration
Box MCP Integration
Demo Implementation
Policy Enforcement
Use cases of Pydantic AI and Box MCP
AI-powered policy analysis with Box content
Secure document summarization
Intelligent content retrieval based on user permissions
AI workflow that integrates with Box's security model
FAQ from Pydantic AI and Box MCP
What does MCP stand for?
What does MCP stand for?
MCP stands for Management of Content Permissions. It's a server that helps manage access and permissions for content in Box.
Do I need a Box enterprise account to use this?
Do I need a Box enterprise account to use this?
You will need some type of Box developer or enterprise account to use this demo. A standard free account won't work.
What is the purpose of the virtual environment?
What is the purpose of the virtual environment?
The virtual environment isolates the project's dependencies, ensuring that it runs correctly regardless of the system's global Python environment or other project dependencies.
Where can I find more information about Pydantic AI?
Where can I find more information about Pydantic AI?
You can find more information about Pydantic AI in their official documentation
Why do I need a local copy of the MCP server?
Why do I need a local copy of the MCP server?
This demo uses a local copy of the MCP server to simulate a production-like environment, allowing you to develop and test the integration before deploying it to a live server.