MS

MCP Server Box

An MCP server capable of interacting with the Box API

#mcp-server-box#box-api
Created by box-community2025/03/27
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What is MCP Server Box?

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 leverages the box-sdk-gen library to facilitate seamless integration with the Box API. How to use MCP Server Box? To use MCP Server Box, clone the repository, set up your environment, and run the server using the provided commands. You will need to configure your Box API credentials in a .env file. Key features of MCP Server Box? File search capabilities within Box. Text extraction from Box files. AI-based querying for file content. Data extraction using AI techniques. Tools for user information retrieval and application authorization. Use cases of MCP Server Box? Searching for specific files in Box based on various criteria. Extracting text from documents stored in Box. Utilizing AI to query and analyze file content. Managing and processing Box data efficiently. FAQ from MCP Server Box? What programming language is MCP Server Box written in? MCP Server Box is written in Python. Do I need Box API credentials to use this project? Yes, you need to create a .env file with your Box API credentials to use the project. How do I run the MCP Server? You can run the MCP Server using the command: uv --directory /path-to-the-project/mcp-server-box run src/mcp_server_box.py.

As an MCP (Model Context Protocol) server, MCP Server Box enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

How to use MCP Server Box

To use MCP Server Box, clone the repository, set up your environment, and run the server using the provided commands. You will need to configure your Box API credentials in a .env file. Key features of MCP Server Box? File search capabilities within Box. Text extraction from Box files. AI-based querying for file content. Data extraction using AI techniques. Tools for user information retrieval and application authorization. Use cases of MCP Server Box? Searching for specific files in Box based on various criteria. Extracting text from documents stored in Box. Utilizing AI to query and analyze file content. Managing and processing Box data efficiently. FAQ from MCP Server Box? What programming language is MCP Server Box written in? MCP Server Box is written in Python. Do I need Box API credentials to use this project? Yes, you need to create a .env file with your Box API credentials to use the project. How do I run the MCP Server? You can run the MCP Server using the command: uv --directory /path-to-the-project/mcp-server-box run src/mcp_server_box.py.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.

Use Cases for this MCP Server

  • No use cases specified.

MCP servers like MCP Server Box can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like MCP Server Box provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.