🤖 Enhance your productivity with Claude AI using curated prompts, skills, and best practices from the ClaudeSkills repository.

🌐 Enhance AI interactions by integrating Claude's Skills system with any model using this versatile Model Context Protocol server.

🚀 Automate iOS app testing and building with 21 scripts for seamless semantic navigation, ensuring reliability across UI changes and screen sizes.

🧪 Test MCP servers with AI agents and LLM judges to ensure seamless natural language interactions and effective performance evaluation.

AWS MCP Servers — helping you get the most out of AWS, wherever you use MCP.

PostgreSQL MCP Server - 63 AI-native tools for query optimization, index tuning, EXPLAIN analysis, and database health. Features pgvector semantic search, PostGIS geospatial ops, JSONB manipulation, Database Tuning Advisor, HypoPG indexes, performance monitoring, backup/recovery, tool-filtering, and 10 prompts with 11 intelligent resources.

📊 Generate diagrams for codebases and system architecture with Blueprint MCP, integrating easily with Arcade tools like HubSpot and Google Drive.

🚀 The fast, Pythonic way to build MCP servers and clients

SQLite MCP Server with AI-Native Features, Tool-Filtering, Vector Search, Foreign Key Enforcement, Enhanced Virtual Tables, Advanced PRAGMA Operations, Intelligent MCP Resources, FTS5 Search, JSONB Support, Transaction Safety, Business Intelligence, Statistical Analysis, SpatiaLite Integration and more.

Google Forms MCP — это инструмент, который позволяет LLM управлять Google формами через Model Context Protocol (MCP).

Easily deploy Haystack pipelines as REST APIs and MCP Tools.

RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.

The best way to create, deploy, and share MCP Servers

GhostCrew is an AI agent framework for black-box security testing, supporting bug bounty, red-team, and pentesting workflows.

A Model Context Protocol (MCP) application for automated GitHub PR analysis and issue management. Enables LLMs to fetch PR details, analyse diffs, manage issues, and handle releases through a standardised interface

Remote MCP server for read/write Google Connections

A modular Python toolkit for creating MCP modules tailored to chemical engineering and chemistry workflows.

Enhanced Qdrant MCP Server is a production-ready fork of the original that transforms the basic MCP server into an enterprise-grade solution with GPU acceleration, multi-vector support, and automated deployment infrastructure.

MCP Security Solution for Agentic AI — real-time proxying, behavior analysis, and malicious tool detection

CrateDB MCP Server for natural-language Text-to-SQL and documentation retrieval.