An MCP server based on MaaFramework, providing Android device and Windows desktop automation capabilities for AI assistants, supporting operations such as OCR recognition, clicking, swiping, and text input, and capable of converting operation processes into reusable Pipelines.

DroidMind is a bridge tool for controlling Android devices via AI, implementing the Model Context Protocol (MCP), allowing AI to interact securely with Android devices through natural language.

Jenius is a general multi - agent AI Agent that enables remote control of smart home devices by integrating Home Assistant and supports the access of multiple Mi Home devices.

An offline documentation MCP server for Garmin Connect IQ SDK, providing complete access to version 8.2.3 documentation for AI assistants, including API documentation, programming guides, device references, and troubleshooting resources.

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 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 Model Context Protocol (MCP) integration tool for controlling Home Assistant devices through an AI assistant, supporting device search, on/off control, and light color and brightness adjustment.

RegenNexus UAP is a universal adapter protocol for connecting devices, robots, applications, and AI agents, providing low-latency, high-security communication, and supporting multiple hardware and MCP integrations.

The TagoIO MCP Server is a tool that allows AI models to directly interact with the TagoIO IoT platform, providing functions such as device management, data analysis, platform integration, and code generation to enhance the development workflow and intelligent data analysis.

The Sauce Labs MCP Server is a model context protocol server fully integrated with the Sauce Labs testing platform, supporting AI assistants to manage the device cloud, test tasks, build analysis, and monitor the test infrastructure through natural language interaction.

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

The Shodan MCP Server is a model context protocol server that provides Shodan API functionality, allowing AI assistants to query detailed information about Internet - connected devices and services.

Home Assistant MCP is a standardized protocol server that provides a secure and typed interface for AI assistants to interact with the smart home system, supporting device control, status query, and automated management.

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.

An automated MCP service for Android devices built on Open - AutoGLM. It connects to the phone via ADB and invokes the visual model, and can access Xiaozhi AI for intelligent control.

This project is a Bluetooth device detection server based on the MCP protocol. It supports cross - platform scanning and identification of Bluetooth devices and provides an API interface for AI assistants to call.

The MCP Mobile Server is an AI-driven mobile development toolset that provides 36 powerful Flutter, Android, and iOS development tools for MCP clients such as Claude Desktop, including intelligent device management, automated builds, and cross-platform deployment features, significantly improving mobile development efficiency.

An MCP server for SwitchBot device control, providing smart home device management functions for AI assistants

Hass-MCP is a protocol server that connects Home Assistant with AI assistants (such as Claude), enabling querying, controlling, and automating management of smart home devices.

An MCP server that enables interaction between the AI assistant and Android devices via ADB

The ThingsBoard MCP Server is a service that provides a natural language interface for LLMs and AI agents, allowing interaction with the ThingsBoard IoT platform through natural language commands to achieve functions such as device management, data query, and analysis.

The openwrt-mcp-server is a lightweight and scalable MCP protocol server designed for OpenWrt embedded devices. It supports both MQTT and HTTP protocols, enabling two-way JSON-RPC communication between devices and AI systems, with security authentication and a modular architecture.

BeeMCP is an unofficial MCP server used to connect the data of Bee wearable devices with large - language models (such as Claude), enabling AI assistants to access and manipulate users' personal data, including conversations, fact records, to - do lists, and location history.

The Enhanced Home Assistant MCP Server provides comprehensive integration with smart home devices, automation, and system management, enabling AI assistants to control devices such as lights, climate systems, and media players, and supporting automation management and system monitoring.

Android-MCP is a lightweight open-source project that serves as a bridge between AI agents and Android devices. It enables real-world task operations such as app navigation, UI interaction, and automated testing through the MCP server, without relying on traditional computer vision or pre-set scripts.

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.

NodeMCU MCP is a service for managing NodeMCU devices, providing RESTful API, WebSocket interfaces, and MCP protocol integration, supporting remote monitoring, device control, and interaction with AI assistants.

An MCP service for controlling mobile devices via AI, providing functions such as device management, application installation, and log acquisition, supporting Android and iOS platforms.

NetBrain MCP is an open-source network operation and maintenance platform that connects large language models with network devices through the Model Context Protocol, enabling AI-driven network configuration, diagnosis, and management. It also provides a professional Web terminal interface and network topology visualization functionality.

An MCP server for Aranet4 CO2 sensors, supporting device scanning, data collection and storage, historical query, and visualization functions, and providing AI - assisted configuration.

The HomeyPro MCP server is a model context protocol service for interacting with the HomeyPro smart home system. It provides paginated access and comprehensive management functions for devices, zones, and processes, including features such as AI intelligent prompts and resource caching.

A TypeScript - based ADB MCP server that serves as a bridge for interaction between AI models and Android devices

Demonstration version of the MCP server for Fibaro HC3, enabling smart home control through Claude AI, supporting device management, scene operations, and natural language interaction.

The Indigo MCP Server Plugin is a bridge that connects AI assistants with the Indigo smart home system. It enables device search and control through natural language queries and supports functions such as semantic search, device type filtering, and historical data analysis.

The Particle MCP Server is a Model Context Protocol service designed for the Particle Internet of Things platform, allowing AI assistants to manage Particle devices through natural language.

A Wyze smart home device control server based on the MCP protocol, providing device discovery, control, and group management functions, and supporting the operation of Wyze devices through an AI assistant.

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.

MCP Appium is a service that integrates Appium into the Model Context Protocol, allowing AI agents to automatically control and test mobile devices, supporting automatic server startup, device detection, and flexible testing.

An MCP server based on the Shodan API that provides AI assistants with the ability to query Internet-connected devices and services, including host information queries, device searches, network scans, SSL certificate queries, and IoT device searches.

Overview: MCP is a standard protocol, similar to the Type C protocol of electronic devices (which can both charge and transmit data), enabling AI models to interact with different APIs and data sources. It aims to replace fragmented Agent code integration and improve the reliability and efficiency of AI systems. By establishing a common standard, service providers can offer their own AI capabilities according to the protocol, supporting developers to build more powerful AI applications more quickly. MCP maintains the context between different applications and services, enhancing the overall ability of autonomous task execution.