An MCP server that provides Korean beauty (K-Beauty) information, supporting real-time search, brand database, ingredient analysis, and AI skin photo analysis. It includes more than 58 brands and personalized skincare recommendations.

S/MCP is a server based on the MCP protocol that provides interaction with the philosophical AI mentor Stern. Stern combines rationalist thinking with Stoic philosophy and helps users reach their potential through smart contracts and personalized guidance.

GitHub Copilot Memory Tool, designed for the new features of VS Code 2025. It allows Copilot to remember user preferences and work context through persistent memory, enhancing the personalized experience of the AI programming assistant.

Cursor chat history analysis tool that allows AI assistants to read local chat data through the MCP protocol, providing personalized programming assistance and pattern analysis

An MCP server developed in Go, supporting SSE and stdio operation modes. It provides functions for querying Bilibili personal information, following lists, and video search, and helps AI select personalized video content.

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.

An MCP server developed in Go, supporting SSE and stdio operation modes, providing functions such as Bilibili personal information query, latest following list, and video search, and facilitating AI to select personalized video content.

The Health & Fitness Coach MCP is an AI - driven comprehensive fitness tracking application, including a Web dashboard and an MCP server. It enables intelligent interaction between the AI assistant and fitness data through the Model Context Protocol, providing functions such as exercise recording, nutrition tracking, and personalized plan generation.

ZenFeed is an open-source project that uses AI technology to enhance the RSS reading experience, providing features such as personalized recommendations, real-time monitoring, and email alerts, aiming to solve the problem of information overload.

Popmelt MCP is a framework that enables in - depth personalized AI interactions through multi - dimensional user preferences, including core components such as style vectors, context weighting, and a dynamic design system.

MiniMe-MCP is an upgraded project for an AI development assistant. By creating a digital twin of the developer, it enables persistent memory and intelligent pattern recognition across projects. It solves the problem that traditional AI assistants lack memory and context understanding, provides personalized coding suggestions based on historical experience, supports multiple IDE tools, and can run locally to ensure data privacy.

The remote MCP service of Academiadepolitie.com, a platform for preparing for the entrance exams of the Romanian Police Academy, provides AI-driven personalized learning analytics, real-time data access, and secure authentication for over 50,000 students, covering 20 legal and policing disciplines.