Overview
What is MCP Server Box?
MCP Server Box is a Python project that integrates with the Box API to perform various operations such as file search, text extraction, AI-based querying, and data extraction. It aims to provide a robust solution for managing and processing Box data using advanced AI and machine learning techniques.
How to use MCP Server Box?
To use MCP Server Box, clone the repository from GitHub, set up your environment, and run the server using the provided command. You will need to configure your Box API credentials in a .env file.
Key features of MCP Server Box?
- Integration with Box API for file operations
- Tools for searching files, reading content, and extracting data
- AI-based querying capabilities
- User information retrieval and application authorization
Use cases of MCP Server Box?
- Searching for specific files in Box storage.
- Extracting data from documents using AI.
- Reading and processing text content from Box files.
- Managing folder contents and structure in Box.
FAQ from MCP Server Box?
- What are the requirements to run MCP Server Box?
You need Python 3.13 or higher and Box API credentials.
- Is there a graphical interface for MCP Server Box?
No, MCP Server Box is a command-line tool designed for developers.
- Can I use MCP Server Box for large datasets?
Yes, it is designed to handle scalable operations on Box files and folders.