This project is a CSS teaching MCP server built on Node.js and TypeScript, providing personalized CSS feature update services, including resource management, tool invocation, and prompt guidance functions.

This project implements a personal context management server based on the MCP protocol, which is used to store and update users' personalized data, enabling AI assistants to maintain memory across sessions and provide personalized services.

A collection of personalized MCP servers for extending language model functions, including services such as weather query

The Hand Marketing MCP server extracts multi-dimensional tags by analyzing user conversations, intelligently matches the industry product database, and provides highly personalized product recommendation services.

A personalized learning path generator based on Streamlit that integrates services such as YouTube, Google Drive, and Notion to create customized learning solutions through the MCP protocol.