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.

TIDAL MCP is a personalized recommendation system based on the TIDAL music platform. Through LLM technology, users can obtain accurate music recommendations based on custom conditions (such as year, style, etc.) and directly manage playlists in their TIDAL accounts.

What2Watch MCP is a service that provides real - time entertainment content discovery capabilities for AI assistants. It integrates program information from thousands of TV channels and streaming platforms and can provide personalized recommendations based on user preferences, mood, and time.

This project is an integration tool between the Strava API and the Model Context Protocol (MCP) SDK, used to analyze training data and provide personalized recommendations. It supports functions such as training activity analysis, automatic token update, and API request rate limit.

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.

This project is an integration solution of the Strava API and the Model Context Protocol (MCP) SDK, used to analyze training data and provide personalized recommendations.