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.

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 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.

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.

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 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.

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.

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

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.

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

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.

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 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.

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.

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.

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.

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.

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.

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

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.

The Zoomeye MCP server is a middleware that provides access to the ZoomEye v2 API, supporting queries for network devices, website information, account quotas, and IP historical data. It is suitable for AI assistant integration.

The Cisco NSO MCP server is a Python-based implementation of the Model Context Protocol (MCP), which provides AI-driven network automation capabilities for the Cisco Network Services Orchestrator (NSO) and supports operating network devices through natural language interaction.

Glasses MCP is a tool that provides web page visual capabilities for AI assistants, allowing AI to obtain visual information of web pages through screenshots, supporting multiple devices and formats.

The Hunter MCP Server is a model context protocol server that provides access to the Hunter API functions, allowing AI assistants to query information related to Internet - connected devices and services.

A server implementation for managing UniFi network devices through the MCP protocol, supporting natural language interaction and AI proxy control.

A server based on the Model Context Protocol that integrates the ntfy push notification service, enabling LLMs and AI agents to send highly customizable notifications to devices.

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

MiniRAG-MCP is an MCP server wrapper built around the MiniRAG project, aiming to provide efficient and reliable Retrieval Augmented Generation (RAG) services for intelligent agent processes on local devices through client-managed LLM inference sampling.

An MCP server project that allows LLMs to use Android devices, a sub - project of airi.

NodeMCU MCP is a service based on the Model Context Protocol, used to manage ESP8266/NodeMCU IoT devices, providing functions such as remote monitoring, configuration updates, and command execution, and supporting integration with AI tools such as Claude.

This project aims to enhance the management experience of Pi-hole devices through FastAPI and the RAG system, providing interaction functions based on natural language processing.

An MCP server that controls smart home devices via the Bond Bridge, supporting the management of devices such as fans, curtains, and lights, and providing a local API interface for interaction with AI assistants.

NodeMCU MCP is a service based on the Model Context Protocol for managing and controlling NodeMCU/ESP8266 IoT devices, providing REST API, WebSocket interfaces, and AI integration capabilities.