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.

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.

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.

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.

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.

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.

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.

The Copus MCP server is a server based on the model context protocol that allows AI assistants to search for and retrieve human-curated content recommendations from the Copus platform. Copus is a discovery platform where real people recommend and explain the value of content, different from algorithm-driven search results. The server provides tools for searching curated content and obtaining detailed information, and is compatible with multiple AI platforms that support MCP.

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.

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.

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.