MCP Server Collection

What is MCP Server Collection?

A curated collection of MCP (Multi-Agent Collaboration Protocol) server implementations providing diverse functional interfaces for AI agents, enabling multi-agent collaboration and task execution. It includes both Python and TypeScript servers covering system cleaning, logistics tracking, file management, and data analysis.

How to use MCP Server Collection?

Review the project structure, navigate to the desired server’s subdirectory (e.g., python/mcp-system-cleaner/ or typescript/mcp-file-manager/), and follow the detailed README inside that folder. For Python servers, require Python 3.12+ and activate a virtual environment; for TypeScript servers, require Node.js 14+ and install dependencies.

Key features of MCP Server Collection

• Cross-platform system cleaner for Windows, macOS, Linux
• China domestic logistics information query service
• File manager with file and directory operations
• Data analyzer with data processing and statistical analysis
• Both Python and TypeScript implementations available
• Each server comes with its own README documentation

Use cases of MCP Server Collection

• AI agents automatically cleaning temporary and junk files across operating systems
• Intelligent logistics tracking for courier, freight, and warehouse data within China
• Automated file management tasks performed by AI assistants
• Data analysis and statistical processing triggered by AI agent requests

FAQ from MCP Server Collection

What servers are included in this collection?

It includes Python servers (mcp-system-cleaner, mcp-logistics) and TypeScript servers (mcp-file-manager, mcp-data-analyzer).

What are the runtime requirements?

Python servers require Python 3.12 or higher; TypeScript servers require Node.js 14 or higher.

Where can I find detailed usage instructions for each server?

Each server has its own README file located in its respective subdirectory (e.g., python/mcp-system-cleaner/README.md).

What license does this project use?

The project is licensed under the MIT license.

How can I contribute to this project?

All forms of contributions are welcome, including bug reports, feature suggestions, documentation improvements, and code contributions. Please refer to CONTRIBUTING.md for more details.