Awesome MCP Servers is a comprehensive collection of Model Context Protocol (MCP) servers, covering 7,158 MCP servers divided into 33 categories, including AI integration, art and media, browser automation, cloud services, databases, developer tools, file systems, finance, gaming, hardware, healthcare, infrastructure, knowledge management, location maps, marketing, monitoring, multimedia processing, operating systems, project management, scientific research, security, social media, travel and transportation, utilities, and version control, etc.

The Druid MCP Server is a comprehensive model context protocol server designed for Apache Druid, providing rich tools, resources, and prompt templates for managing and analyzing Druid clusters. It supports multiple transmission modes, including STDIO and SSE, and provides functions such as data management, ingestion management, and monitoring and health checks.

The Kafka MCP Server is an Apache Kafka Model Context Protocol (MCP) server implemented in Go. Through a standardized interface, it enables LLM models to perform Kafka operations. It provides functions such as producing/consuming messages, managing topics and consumer groups, and monitoring cluster health. It supports multiple security authentication methods and can be integrated with AI applications such as Cursor and Claude.

The Sentry MCP server is a tool that integrates Sentry error tracking into the development workflow, providing version monitoring, health statistics, and issue investigation capabilities, and supporting cloud - based and self - hosted Sentry instances.

An MCP server for configuring and managing the Cisco ACI (Application Centric Infrastructure) fabric through the APIC REST API, providing more than 35 tools covering complete fabric management functions such as tenants, application profiles, endpoint groups, bridge domains, VRFs, contracts, and health monitoring.

A MCP server that connects Claude Desktop with local LibreModel, providing full conversation support, parameter control, and health monitoring functions

Enterprise-level MCP server, integrating ServiceNow and workflow management, providing health monitoring and a high-performance FastAPI backend.

Arcanna MCP Server is a service that interacts with Arcanna AI use cases through the Model Context Protocol (MCP), providing functions such as resource management, Python coding, event query, task management, feedback system, and health monitoring.

A pure crawler - based web search MCP service based on Node.js, supporting Bing web page and news searches without an official API, providing high - performance crawling and health monitoring functions.

An AI customer service support system based on the MCP protocol, integrating Cursor AI and Glama.ai to provide real-time context acquisition and intelligent response generation, supporting functions such as batch processing, priority queuing, and health monitoring.

This project is the Kubernetes deployment configuration for the Model Context Protocol (MCP) service, including the Docker image building, Azure Container Registry pushing, and K8s cluster deployment processes, and supports health checks, monitoring, and security protection.

A Model Context Protocol (MCP) server for monitoring and analyzing the Precision Time Protocol (PTP) system in an OpenShift cluster, providing functions such as configuration analysis, real - time log monitoring, natural language querying, and health checks.

The Ceph MCP Server is a bridge connecting the AI assistant and the Ceph storage cluster, enabling storage management through natural language and providing functions such as health monitoring, host management, detailed analysis, and secure communication.

An MCP server tool for analyzing Aave V3 liquidation opportunities on the Ethereum mainnet, providing real - time health factor monitoring, liquidation opportunity analysis, user position tracking, and batch address checking functions, and is specifically designed for AI assistant integration.