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.

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

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

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.

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.

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

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.

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.

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

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

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

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.

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.

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

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 Spotify server based on the MCP protocol that allows interaction with a Spotify account via Claude, enabling functions such as searching for songs, creating playlists, and getting recommendations.

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

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.

Ummon is a code analysis tool that enhances the understanding of codebases by building a code knowledge graph. It supports multi-language code analysis, an advanced query system, and intelligent recommendation functions.

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.

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.

This is a fashion recommendation system based on CLIP. It detects the clothing pictures uploaded by users through YOLO and recommends similar products after encoding with CLIP. The project has completed the construction of the FastAPI server, database connection, and basic front - end UI. The next step is to optimize the label accuracy of CLIP and system integration.

This is an MCP server developed for the Nerdearla 2025 conference, providing real - time agenda query functions, supporting Claude Desktop and remote HTTP connections, and including tools such as intelligent caching and speech recommendation.

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

DocuMCP is an intelligent document deployment MCP server that provides a revolutionary document deployment solution for open - source projects through in - depth repository analysis, intelligent static site generator recommendation, and automated GitHub Pages deployment workflow.

Xiaohongshu MCP server and CLI tool, supporting automated functions such as login, publishing, search, and recommendation, providing automatic download of picture URLs and precise title verification

FindMine Shopping Stylist is an MCP server that integrates FindMine's product styling and matching recommendation functions with MCP - compatible applications such as Claude.

Skillsmith is an AI skill discovery, recommendation, and management system based on the MCP protocol, which helps users search for, install, and use AI tool skills.

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.

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.

SeatGeek - MCP is a comprehensive MCP server that provides the SeatGeek tool library, including functions for event, performer, venue, and seat information, as well as recommendations. It supports TypeScript libraries and multiple transmission protocols.

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.

Spotify Playlist MCP Server, supporting natural - language playlist creation and music recommendation with multiple similarity algorithms, including audio feature analysis and genre matching functions

This is an experimental Observe MCP server project that provides API interaction capabilities with the Observe platform, including tools for executing OPAL queries, exporting worksheet data, and managing monitors. It enables semantic document search and troubleshooting manual recommendation through the Pinecone vector database, providing a secure data access bridge for technical LLM models.

An MCP server that provides Zig language tool support, including functions such as code optimization, compute unit estimation, code generation, and best practice recommendations