About MCP Server Collection
MCP Server Collection is a set of Python and TypeScript MCP server implementations for developers building AI-agent workflows. Its included services cover system cleanup, logistics lookup, file management, and data analysis.
Key features
- 01Cross-platform system cleanup
- 02China logistics information lookup
- 03File and directory management
- 04Data processing and statistical analysis
Use cases
- 01Clean junk from Windows, macOS, or Linux systems
- 02Look up shipping, freight, and warehousing information
- 03Perform file operations and manage directories
- 04Process data and run statistical analysis
MCP support
The repository contains MCP-based server implementations that provide interfaces for AI agents, supporting multi-agent collaboration and task execution.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP Server Collection
这个仓库包含了一系列基于 MCP (Multi-Agent Collaboration Protocol) 协议的服务器实现。这些服务器旨在为 AI 代理提供各种功能接口，促进多代理协作和任务执行。
项目结构
mcp-servers/
├── python/
│ ├── mcp-system-cleaner/
│ ├── mcp-logistics/
│ └── ...
├── typescript/
│ ├── mcp-file-manager/
│ ├── mcp-data-analyzer/
│ └── ...
├── README.md
└── .gitignore
Python 服务器
mcp-system-cleaner
跨平台系统垃圾清理服务，支持 Windows、macOS 和 Linux。
mcp-logistics
中国境内物流信息查询服务，支持快递、货运、仓储等全链路物流数据。
TypeScript 服务器
mcp-file-manager
文件管理服务，提供文件操作、目录管理等功能。
mcp-data-analyzer
数据分析服务，提供数据处理、统计分析等功能。
开发指南
Python 服务器
- 确保安装了 Python 3.12 或更高版本。
- 进入相应的 Python 项目目录。
- 创建并激活虚拟环境：
TypeScript 服务器
- 确保安装了 Node.js 14 或更高版本。
- 进入相应的 TypeScript 项目目录。
- 安装依赖、运行
贡献指南
我们欢迎所有形式的贡献，包括但不限于：
- 提交 bug 报告
- 提出新功能建议
- 编写或改进文档
- 提交代码改进或新功能实现
请查看 CONTRIBUTING.md 了解更多详情。
许可证
本项目采用 MIT 许可证。详见 LICENSE 文件。
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.