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'.

The DevOps AI Toolkit is an AI-based platform engineering and DevOps automation tool that provides functions such as resource deployment recommendations, problem repair, project governance, and a shared prompt library for teams through intelligent Kubernetes operations and conversational workflows, enabling complex cloud-native operations to be achieved through natural language interaction.

MCP Compass is an intelligent discovery and recommendation service that helps users explore and utilize Model Context Protocol (MCP) servers.

An MCP server that provides tool support for the Zig language, including code optimization, compute unit estimation, code generation, and best - practice recommendations.

This project is an MCP server that connects to Amazon advertising data, providing access to sponsored product, brand, and display advertising resources, including ad campaigns, keywords, product ads, etc., and supporting report query and recommendation functions.

A Korean location recommendation MCP server based on the Kakao Map API

An MCP server that connects AI assistants with the LedFX lighting control system, controls LED lighting effects, manages devices, creates scenes and color palettes through natural language, and supports AI-driven scene recommendations and function explanations.

A comprehensive AWS cost analysis and optimization recommendation MCP server that integrates AWS core services such as Cost Explorer and Compute Optimizer, providing resource optimization solutions and cost - saving suggestions.

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 music recommendation system that filters the TIDAL music library through LLM combined with user - defined conditions, supporting intelligent recommendation and playlist management based on playback history/playlists.

This project is a movie information MCP server based on the TMDB API, providing functions such as movie search, recommendation, and popular movie query, which can be integrated with the Claude desktop application.

An MCP server that integrates the Spotify API, supporting playlist management, music search, and recommendation retrieval through Claude

An intelligent icon search and recommendation service based on Cloudflare Workers, achieving efficient icon discovery through multi-algorithm semantic matching

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.

This is an MCP server that provides deterministic technology stack recommendations for AI tools such as Claude and Cursor. It includes free tools and professional features that require an API key, helping developers choose suitable technology combinations according to project types and scales.

MCP Research Router is an MCP aggregator and intelligent router that can manage multiple MCP servers in a unified manner, provide intelligent tool recommendation and batch parallel execution functions, and improve tool usage efficiency.

An MCP server integrating TMDB API, providing movie search, recommendation, and trend query functions

PentestThinkingMCP is an automated penetration testing framework based on large language models and the MCP protocol. It can plan attack paths through Beam Search and MCTS algorithms, providing step reasoning, tool recommendation, and key path analysis for CTF, HTB, and real - world penetration testing.

A production-level MCP server that provides AI assistants with access to the Finnish Alko alcohol product catalog, including product search, inventory query, store information, and personalized recommendations.

An implementation of the Semantic Scholar API service based on the FastMCP framework, providing functions for academic paper search, author information query, citation analysis, and recommendation.