This MCP enables seamless interaction with Box cloud storage, providing functions like file search, data extraction, and AI-based querying, optimized for managing Box files and folders efficiently.
This MCP enables seamless interaction with Box cloud storage, providing functions like file search, data extraction, and AI-based querying, optimized for managing Box files and folders efficiently.
The Box Community MCP Server is a robust platform designed to interact with Box cloud storage. It offers features such as file search, reading file contents, extracting specific data via AI, and folder management. This MCP uses the Box API and Python SDK to facilitate operations like searching files by name or content, reading files, and leveraging AI to analyze or extract data from files. It is especially useful for developers and organizations aiming to automate and streamline their Box data workflows while integrating AI for advanced data processing.
Who will use Box Community MCP Server?
Developers working with Box API
Organizations managing large Box repositories
Data analysts and AI practitioners
Cloud storage administrators
How to use the Box Community MCP Server?
Step 1: Clone the repository using git
Step 2: Install dependencies and setup environment
Step 3: Configure your Box API credentials in the .env file
Step 4: Start the MCP server with uv command
Step 5: Use the available tools such as search, read, and AI query functions to manage and analyze Box files
Box Community MCP Server's Core Features & Benefits
The Core Features
box_who_am_i
box_authorize_app_tool
box_search_tool
box_read_tool
box_ask_ai_tool
box_search_folder_by_name
box_ai_extract_data
box_list_folder_content_by_folder_id
The Benefits
Automates file management in Box
Enables AI-powered data extraction
Supports comprehensive file search and retrieval
Facilitates scalable workflows for large Box repositories
Box Community MCP Server's Main Use Cases & Applications
Automated search and retrieval of files in large Box accounts
Extracting structured data from documents using AI
Managing and organizing folders programmatically
Integrating AI querying for intelligent file analysis