The HowToCook - MCP Server is a project that transforms an AI assistant into a personal chef. Based on the HowToCook recipe data, it provides functions such as recipe query and meal recommendation for AI clients through the MCP protocol, solving the problem of 'what to eat today'.

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.

An MCP server implementation that connects an AI agent with Google Flights data, supporting flight information query, cheapest option search, time filtering, and best recommendations.

An intelligent code analysis and debugging service based on the Perplexity AI API, integrated with the Claude desktop client through the MCP protocol, providing functions such as error analysis, pattern recognition, and solution recommendation.

AWS Security MCP is a service based on the model context protocol that allows AI assistants to independently check and analyze security issues in AWS infrastructure through natural language queries. It supports multiple AWS security services, including IAM, EC2, S3, etc., and provides security recommendations and threat modeling reports.

An intelligent code analysis and debugging server based on the Perplexity AI API, seamlessly integrated with the Claude desktop client, providing error analysis, pattern recognition and solution recommendations.

A server that provides model context protocol services for Dify AI, supporting chat completion functions and a restaurant recommendation tool.

A Python - based MCP server for accessing the TheMealDB API, providing functions such as recipe search, random recommendation, and query by category/region/ingredient. It supports AI assistants to obtain cooking information through natural language interaction.

An AI-based restaurant booking MCP server that integrates the Google Maps Places API, providing intelligent restaurant search, recommendation, and booking services. It supports filtering restaurants based on location, cuisine, atmosphere, and event type.

A server based on the Model Context Protocol (MCP) that provides access to Laravel documentation and extension package recommendation functions, supporting AI assistants and language models to obtain Laravel-related resources.

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.

An SEO automation optimization tool that integrates the Google Ads API and AI technology, providing functions such as keyword research, competitor analysis, and SEO recommendations.

This project uses the Quarkus framework and the Model Context Protocol (MCP) to implement an intelligent agent application based on multiple MCP servers. It combines LangChain4j to provide functions such as AI dialogue, restaurant recommendation, and Slack notification, and supports deployment in development and production environments.

An intent - based Breville digital asset discovery MCP service that enables intelligent asset search and recommendation through natural language and AI technology

An MCP server that provides access to European cultural heritage and artworks, supporting search, detail viewing, institution browsing, and AI recommendation functions.

A Spotify playlist management server based on the MCP protocol that helps users optimize playlists by analyzing the characteristics of existing tracks and using Claude AI to make intelligent song recommendations.