BrowserTools MCP is a powerful browser monitoring and interaction tool that enables AI to perform intelligent analysis and operations on browsers through a Chrome extension and a local server.

UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.

An n8n workflow management protocol server designed for AI assistants, supporting the creation, execution, and monitoring of workflows through natural language interaction.

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.

A Node.js server that acts as a bridge between the Chrome DevTools extension and Cursor AI, providing debugging and monitoring functions, including capturing console logs, network requests, screenshots, etc.

This is an MCP server that connects to the Tuba.ai platform, allowing you to control and interact with AI vision workflows programmatically, providing functions such as execution, monitoring, configuration, and file upload.

This project provides seamless integration between the Unity Editor and the Model Context Protocol (MCP), enabling AI assistants to understand and operate on Unity projects in real-time, including accessing the scene hierarchy, executing code, monitoring logs, and other functions.

A Solana wallet intelligent monitoring and trading system based on the MCP protocol, enabling automated operations through natural language interaction with AI.

Citus MCP is an AI assistant server based on the Model Context Protocol, designed specifically for managing Citus distributed PostgreSQL clusters, providing cluster inspection, monitoring, intelligent suggestions, and secure operation functions.

BrowserTools MCP is a powerful browser monitoring and interaction tool that enables AI applications to capture and analyze browser data through Chrome extensions and a local Node server, and is compatible with multiple MCP clients.

A high-performance MCP server implemented in Go language, providing AI agents and applications with the ability to query and access the Redfish API through natural language, enabling intelligent management and monitoring of data center infrastructure.

A desktop application for managing MCP servers, supporting integration with AI tools such as Claude and Cursor, and providing functions such as server import, environment variable configuration, and real - time monitoring.

The multi-cluster MCP server provides a gateway for generative AI systems to interact with multiple Kubernetes clusters, supporting resource operations, cluster management, and monitoring.

Binance Alpha MCP is a server for tracking Binance Alpha trades, helping AI agents optimize Alpha point accumulation. It provides real-time trading monitoring, USD-denominated metrics, data persistence, and MCP tools, including functions to get top tokens and trading statistics.

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.

An enterprise-level MCP server that provides intelligent analysis of GitHub repositories and AI development assistance, including 11 tools, supporting Docker deployment and real-time monitoring.

This is an MCP server developed for the Cursor cloud agent API, which allows AI assistants to create and manage cloud agent tasks on GitHub repositories, providing functions such as task creation, status monitoring, and viewing conversation history.

Prometheus MCP Server is a protocol server that enables seamless docking between AI assistants and the Prometheus monitoring system. It supports querying, analyzing, and discovering monitoring metrics in natural language and is compatible with multiple development tool clients.

The Swarms API is a REST API for building, deploying, and managing multi-agent systems. It supports multiple AI models and swarm architectures, providing functions such as real-time monitoring, batch processing, and task scheduling.

An intelligent system that combines AI with Kubernetes management, enabling cluster diagnosis, resource monitoring, and log analysis through natural language interaction to simplify K8s operations and maintenance work.

A .NET console application for monitoring MCP interactions in the Cursor AI editor, providing real-time log analysis, error debugging, and protocol interaction visualization functions.

This project is a list of MCP servers, covering multiple fields such as browser automation, tool integration, system automation, AI services, search, commands, workflow automation, social media, communication, customer data platforms, databases, knowledge storage, development tools, file systems, cloud storage, finance, location services, monitoring, research data, security, travel, data visualization, notes, marketing, identity, etc.

An experimental MCP server developed for the Kafka monitoring tool AKHQ, which helps AI assistants connect and assist users in working with AKHQ

A Python-based MCP server that enables interaction between an AI assistant and an Unraid server through the Unraid GraphQL API, providing system monitoring and read-only management functions.

An MCP server based on the Serper API, providing Google search functionality and an AI in-depth research tool, supporting configurable search parameters, multi-level research depth, and result quality monitoring.

The MCP Document Indexer is a Python - based local document indexing and search server that uses the LanceDB vector database and a local LLM (through Ollama) to implement real - time monitoring, multi - format document processing, and semantic search, and provides tools for AI assistants such as Claude through the Model Context Protocol (MCP).

The Honeycomb MCP server is an interface that enables Claude AI to interact with the Honeycomb API via the Model Context Protocol (MCP), allowing operations such as retrieving, creating, and updating datasets.

This project demonstrates how to integrate with Arista CloudVision through the MCP protocol, use Claude AI for API calls, and implement network monitoring data query and tag management functions.

Letta MCP Server Railway Edition is an MCP server with HTTP transmission optimized for cloud deployment. It allows AI clients to seamlessly connect to Letta.ai's powerful state agent, supports one-click deployment to the Railway platform, and provides more than 20 tools for agent management, conversation, memory management, and monitoring.

The AI agent project integrates the Google ADK development kit, supports the A2A protocol for communication between agents, and extends functions through the MCP protocol, providing Dockerized deployment and Phoenix monitoring.

Agents Council is an AI agent collaboration tool based on the MCP protocol, which allows different AI agent sessions (such as Claude Code, Codex, Gemini, etc.) to communicate and collaborate across sessions without additional infrastructure. It realizes communication between agents through a central MCP server, supports session retention, human - participation monitoring, summoning of Claude agents, etc., to help developers solve complex tasks.

This project provides a Dagster service interface based on the Model Context Protocol, enabling AI agents to interact with the Dagster data orchestration platform for data pipeline exploration, run monitoring, and asset management.

The AI Agent Marketplace Index Search MCP Server provides the function of searching for AI agents by keyword or category, supports monitoring agent performance indicators, and provides API access services.

DomainKits MCP is a domain name intelligent agent framework designed for AI assistants. It integrates tools such as domain name search, analysis, monitoring, trend discovery, and batch processing, and can transform general - purpose AI assistants into professional domain name agents with industry - specific knowledge.

GUARDRAIL is a security framework specifically designed for the large language model (LLM) application ecosystem, providing comprehensive protection especially for the Model Context Protocol (MCP). It uses a multi - layer architecture, including an information gateway layer, a context verification layer, a request control layer, an execution isolation layer, and an audit monitoring layer, aiming to prevent data leakage, unauthorized access, and resource abuse. This framework emphasizes progressive adoption, allowing developers to gradually enhance security while maintaining high performance and ease of use.

The IOTA MCP Server is a comprehensive Model Context Protocol (MCP) server that provides blockchain services for IOTA and multiple EVM-compatible networks, with a particular focus on the integration of the IOTA ecosystem and AI systems. It supports more than 30 blockchain networks, providing a unified interface for AI agents to access blockchain data, interact with smart contracts, transfer tokens, etc., and includes features unique to IOTA such as staking and network status monitoring.

Masumi MCP Server is a gateway connecting AI clients to the Masumi network, providing decentralized proxy discovery, hiring, monitoring, and payment system services.

The MCP Dual Cycle Reasoner is a metacognitive enhancement tool designed for autonomous AI agents. Through a dual-cycle framework (sentinel monitoring and arbiter management), it enables anomaly detection and experience learning to enhance the self-awareness and reliability of agents.

An MCP server integrated with x402 payment, providing automated search and monitoring functions, supporting AI duplicate removal detection and automatic payment for task creation.

An MCP service that obtains current and past 24 - hour data from air quality monitoring stations in various locations across Taiwan