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 MCP server implementation for the ESP32 CYD development board provides a complete solution for remotely controlling hardware functions such as displays, touch, GPIO, and sensors through the WebSocket protocol.

FortunaMCP is a high-performance random number generation server based on hardware entropy, providing real and unpredictable random values for AI applications through various statistical distribution models, suitable for simulation and gaming scenarios.

mcp2mqtt is a bridge project that connects IoT devices with large AI models, enabling natural language control of hardware devices through the MCP and MQTT protocols.

A professional embedded debugging MCP server that provides comprehensive embedded system debugging capabilities for AI assistants, supports ARM Cortex-M and RISC-V microcontrollers, and integrates with real hardware.

A lightweight server that exposes Mac system information through simple APIs to help AI assistants obtain real-time hardware and system data, mainly used for AI and deep learning experiments by Mac users.

A professional serial communication MCP server that provides AI assistants with comprehensive serial communication capabilities, supports embedded systems, IoT devices, and hardware debugging, and has cross - platform support and multiple data format processing functions.

A project based on the mcp-server, supporting large AI models to efficiently invoke Spinq's quantum computing hardware resources. It provides one-click installation scripts for Windows and macOS, automatically detecting the Python environment and installing dependencies.

An MCP server for seamless integration with computer peripherals, providing a unified API to control, monitor, and manage hardware devices, including cameras, printers, audio devices, and screens.

mcp2tcp is a bridge project connecting physical hardware and large AI models, realizing natural - language control of hardware devices through the MCP protocol.

MCP2Serial is a bridge project connecting physical devices with large AI models, enabling intelligent control of the Internet of Things by controlling hardware devices through natural language.

JetsonMCP is an MCP server that manages NVIDIA Jetson Nano edge computing devices through SSH connections, providing AI workload optimization, hardware configuration, and system management functions, and supporting the conversion of natural language instructions into professional operation commands.

env - mcp is a cross - platform system information acquisition toolkit that supports obtaining detailed hardware, software, and network environment information through the MCP protocol.

YDB is an open-source distributed SQL database that combines high availability, scalability, strict consistency, and ACID transaction support. It supports multi-tenant and serverless architectures, is suitable for large-scale OLTP workloads, and can automatically handle hardware failure recovery.

The Opentrons MCP Server is a tool that provides API documentation and direct control functions for Opentrons robot automation. It supports Flex and OT - 2 robot models and includes functions such as protocol management, run control, and hardware operations.

KognitiveKompanion is a modern and multi-functional AI interaction interface that supports desktop environments such as KDE and provides seamless integration with OpenAI, Ollama, and AMD Ryzen AI hardware acceleration.

JetsonMCP is an MCP server that helps AI assistants manage and optimize the NVIDIA Jetson Nano edge computing system through SSH connection, providing functions for AI workload deployment, hardware optimization, and system management.

KognitiveKompanion is a modern and multi-functional AI interaction interface that supports multiple desktop environments such as KDE, integrates multiple backends including OpenAI, Ollama, and AMD Ryzen AI hardware acceleration, and provides advanced UI, context functions, and conversation management.

IntelliGlow is a smart lighting system based on the MCP protocol that controls real smart bulbs through an AI assistant, supports voice commands, AI inference, and direct hardware control, and enables natural language interaction and intelligent lighting management.

AnyPixel.js is an open - source hardware and software library for creating large - scale, non - traditional, interactive display devices. It provides a complete hardware design, firmware, back - end, and front - end framework, supporting developers to build web - based interactive pixel display systems.

IntelliGlow is an AI-powered intelligent lighting control system based on the MCP protocol. It directly controls real smart bulbs through the UDP network, supports voice commands, AI reasoning, and hardware control, achieving seamless docking between natural language interaction and smart homes.

An Xbox controller simulation server based on FastMCP and vgamepad, providing button, joystick, and trigger control functions, and supporting both hardware and simulation modes.