MCP Server Box
MCP Server Box is a Python project that implements functions such as file search, text extraction, AI queries, and data extraction through the Box API. It integrates the box-sdk-gen library and provides a toolset for interacting with Box files and folders.
rating : 2.5 points
downloads : 33
What is the MCP Server Box Tool?
The MCP Server Box Tool is a toolset built on Python that provides powerful file management capabilities through the Box API. You can search for, read, upload, and download files, and even use AI for intelligent data analysis. It is ideal for individuals or teams that need to efficiently handle large volumes of files.How to Use the MCP Server Box Tool?
Simply install the tool and configure your Box API credentials to start using it. You can easily complete file management tasks through simple command-line operations.Applicable Scenarios
Suitable for users who need to access Box files frequently, such as corporate management, educational institutions, or creative teams.Main Features
File SearchSearch for files in Box based on keywords, file names, or content.
AI Data ExtractionUse AI technology to extract specific information, such as tables or keywords, from files.
File Upload and DownloadUpload local files to Box or download Box files to your local machine.
Folder ManagementCreate, update, or delete folders in Box.
Advantages and Limitations
Advantages
Fast and efficient file management
Supports multiple file types
Integrates AI capabilities to improve work efficiency
Limitations
Requires Box API credentials
Has a certain dependence on network connectivity
How to Use
Install the Tool
Clone the repository and set up a virtual environment.
Configure API Credentials
Add your Box API credentials to the .env file.
Start the Server
Run the MCP server to start using it.
Usage Examples
Case Title: File SearchSearch for financial report files in Box.
Case Title: File UploadUpload a local file to Box.
Frequently Asked Questions
How to obtain Box API credentials?
Does it support recursive folder operations?
Related Resources
Official Documentation
Official documentation for the Box API
GitHub Repository
Project source code address
Featured MCP Services

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
823
4.3 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
79
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
130
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
554
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.6K
4.5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
745
4.8 points