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.

adb - mcp is a proof - of - concept project aiming to provide an interface for LLMs through the MCP protocol to create an AI agent for controlling Adobe tools (such as Photoshop and Premiere). This project includes the MCP server, Node command proxy server, and Adobe application plugins, supporting natural language instruction operations on Adobe software and suitable for image and video editing automation.

MCP Appium is an intelligent mobile automation server based on the model context protocol, providing cross - platform mobile app testing tools for AI assistants, supporting iOS and Android platforms, and featuring intelligent element location, session management, and automated test generation functions.

This project is a collection of MCP servers designed for Kali Linux, aiming to enhance reverse engineering, security testing, and automation workflows. It integrates tools such as Nmap and Wireshark and provides Docker sandbox support.

This project is a toolset for managing and configuring multiple Model Context Protocol (MCP) servers, mainly serving AI assistants such as Claude Desktop. It provides functions such as file system access, SQLite database queries, web automation, and GitHub integration, and includes installation scripts, configuration templates, and security practice guides.

AutoSpectra is an all-in-one AI agent automation platform that provides an integrated solution for browser automation, API testing, debugging tools, etc., and is compatible with multiple AI model systems.

The MCP server for industrial Internet of Things and edge computing provides 11 tools through HTTP endpoints, enabling AI - driven industrial automation, predictive maintenance, and smart factory operations, and supporting multiple protocols such as MQTT and Modbus.

The GoHighLevel MCP server is a fundamental project aiming to connect the GoHighLevel community with AI automation through the Model Context Protocol (MCP). It provides access to all sub - account level GoHighLevel API endpoints, supports 269 tools, covering multiple functional categories such as contact management, messaging, sales pipelines, and calendar appointments. The project emphasizes community collaboration, an open architecture, and educational resources, while also reminding users to pay attention to key issues such as AI security, rate limits, and data security.

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.

The Specifai MCP Server is a model context protocol server used for integration and automation with AI tools that support the MCP protocol, providing a tool for reading documents generated by the Specifai project.

The Kernel MCP Server is an open - source server based on the Model Context Protocol (MCP), providing AI assistants with secure access to Kernel platform tools and browser automation capabilities. It supports cloud application deployment, headless browser control, document search, etc., and uses OAuth 2.0 authentication to ensure security.

SQLite MCP Server is an enterprise-level SQLite database enhancement tool that provides 73 dedicated tools, supporting advanced analysis, JSON operations, text processing, vector search, geospatial operations, and intelligent workflow automation. It has AI-native JSON operations and enhanced security.

The SmartLead MCP Server is a cold email automation tool designed for AI assistants. It offers over 116 SmartLead API interfaces, supports multiple AI tools such as Claude and Cursor, and features an attractive installation interface and comprehensive email marketing functions.

This project is a comprehensive collection of Model Context Protocol (MCP) servers, aiming to enhance the capabilities of AI models through standardized integration, covering multiple fields such as databases, network automation, and development tools.

SmartLead MCP Server is a cold email automation tool designed for AI assistants, providing over 116 API interfaces, supporting mainstream AI tools such as Claude and Cursor, including a beautiful interactive installer and full SmartLead API coverage.

Medusa's MCP server for integrating AI and automation tools

This project uses the MCP protocol and AI technology to build automated network security tools, covering multiple fields such as red - team attack simulation, SOC analysis, malware development, and threat hunting, to achieve the intelligence and automation of security tasks.

defold-mcp is an open-source Model Context Protocol (MCP) server designed to connect the Defold game engine with modern developer tools and AI-assisted workflows. It provides a set of automation tools for managing Defold projects, generating scripts and resources, debugging and analyzing projects, and supports integration with AI development tools such as Cursor.

This is a curated list of Awesome Model Context Protocol (MCP) Servers, which contains detailed classifications and descriptions of various MCP servers, frameworks, tools, and resources. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized servers. The list covers MCP server implementations in multiple fields, including browser automation, cloud platforms, databases, developer tools, fintech, gaming, and security.

The Blockscout MCP Server is an open - source service based on the Model Context Protocol (MCP), aiming to provide structured blockchain data access for AI agents, IDEs, and automation tools. It encapsulates the Blockscout API, supports multi - chain queries, including balances, tokens, NFTs, and contract metadata, and enables tools such as Claude and Cursor to analyze and utilize this data through context - aware APIs.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers that cover a variety of tools and integrations, including browser automation, art and culture, cloud platforms, command - line, communication, customer data platforms, databases, developer tools, file systems, fintech, knowledge and memory, location services, monitoring, search, security, travel and transportation, version control, etc. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized servers.

A WeChat automation MCP server based on ADB, optimized for LDPlayer emulator, enabling AI assistants to automatically send WeChat messages and take screenshots, and supporting integration with AI tools such as Cursor.

OmniMind is an open - source Python library designed to simplify Model Context Protocol (MCP) integration and support the development of AI agents, workflows, and automation. It offers plug - and - play functionality, has built - in multiple tools, and provides intelligent responses based on Google Gemini, making it suitable for developers and beginners to quickly build AI applications.

MCP-openMSX is a bridge project that connects modern AI development with retro computing (MSX systems). It provides a comprehensive control toolset for the openMSX emulator through the MCP protocol, including emulator management, media operations, BASIC programming support, debugging tools, and automation functions.

This is an Android MCP toolkit designed for AI agents, providing tools such as SVG to VectorDrawable conversion, ADB log reading, UI automation, and text length estimation, aiming to efficiently connect the Android development process with AI agents.

Mobile automation MCP service, providing Android/iOS device control capabilities for Cursor AI, supporting 39 operation tools, intelligent verification, test script generation, etc. It can be used without an AI key.

Agentify Components is a framework for adding semantic metadata to React components, enabling AI systems and automation tools to understand component functions. It adds standardized descriptions to components through decorators and generates MCP server configurations to enable interaction between components and AI models.

A TypeScript - based MCP server that controls Minecraft Bedrock Edition via WebSocket connection, providing functions such as player control, world operation, and building tools, and supporting integration with MCP clients for AI automation.

The Ultimate MCP Server is an AI agent operating system based on the Model Context Protocol (MCP), providing dozens of powerful tool capabilities, including intelligent task delegation, document processing, browser automation, Excel operations, etc. It achieves cognitive enhancement and complex task orchestration of AI agents through standardized MCP tools.

The Smart MCP Server is an intelligent middleware server that dynamically manages tool selection and execution through context awareness technology. It integrates a variety of AI and development tools, supporting complex workflow orchestration and document automation processing.

This document categorizes and organizes various Model Context Protocol (MCP) servers to help developers integrate AI models with resources such as databases, file systems, APIs, cloud services, and automation tools.

The Airtop MCP Server is a toolset that provides browser automation services, supporting functions such as session creation, window management, and page query. It can be integrated and used through the Claude application.

The Xcode MCP Server is a comprehensive development automation tool that provides over 115 tools for project management, building, testing, simulator control, crash reporting, resource management, and localization. It supports AI - driven workflows and a configurable agent role system.

A lightweight screenshot microservice based on FastAPI, compatible with the MCP protocol, supporting full - screen, region, and window screenshots, suitable for AI agents and automation tools.

This is a comprehensive collection of Model Context Protocol (MCP) servers, covering multiple categories such as AI services, art and culture, browser automation, cloud platforms, cloud storage, command lines, communication, customer data platforms, data science tools, databases, developer tools, file systems, finance, games, knowledge and memory, location services, marketing, monitoring, notes, other tools and integrations, research and data, search, security, social media, system automation, travel and transportation, version control, and workflow automation.

A high - performance backend for 12306 train ticket queries based on the MCP protocol, supporting queries for remaining tickets, stations, stop stations, transfers, and intelligent time tools, suitable for AI/automation scenarios

A high - performance CloudStack MCP Server that provides complete virtual machine lifecycle management, infrastructure discovery, and security authentication functions, and supports integration with AI assistants and automation tools through the MCP protocol.

The DPO2U MCP Platform is a hybrid AI compliance engine that combines local data processing with cloud - based legal knowledge, providing 17 tools to achieve 100% data localization processing and advanced compliance automation.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers that cover MCP server implementations in various fields, including databases, browser automation, cloud platforms, developer tools, fintech, security, etc. These servers enable AI models to securely interact with local and remote resources through a standardized protocol.

GitLab MCP Server is a service based on the Model Context Protocol (MCP) that provides seamless integration with the GitLab API and supports developers and AI tools to achieve advanced automation and interactive functions in the GitLab ecosystem.