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Mobile Next - MCP server for Mobile Development and Automation | iOS, Android, Simulator, Emulator, and physical devices

Model Context Protocol Server for Mobile Automation and Scraping (iOS, Android, Emulators, Simulators and Physical Devices)

IoT Realm MCP Server 🌐🔌

🌐🔌 An MCP server that exposes real-time sensor data from IoT Realm devices—such as ESP32-based DHT11 clients—to LLMs via the Model Context Protocol. This enables AI agents to access, analyze, and act

Shodan MCP Server

This is a Model Context Protocol (MCP) server that provides access to the Shodan API. It allows you to programmatically query Shodan for information about devices, vulnerabilities, and more.

shodan-mcp-server

This is a Model Context Protocol (MCP) server that provides access to the Shodan API. It allows you to programmatically query Shodan for information about devices, vulnerabilities, and more.

MCP Server for Paper Analytical Devices (PAD)

A Python MCP Server for Paper Analytical Devices (PAD)

Home Assistant MCP Server

A Model Context Protocol (MCP) server for interacting with Home Assistant. This server provides tools to control and monitor your Home Assistant devices through MCP-enabled applications.

MCP for IOT

MCP Server for IOT Devices

Omi Uber Mcp

An MCP server for Omi devices calling uber

Promptium

This project is a Java-based UI automation framework that integrates with Appium and utilizes LLMs (like Claude) to drive intelligent test actions on mobile devices and simulators.

FaceAge

FaceAge是一款AI人脸识别扫描模型，它通过数万张患者照片和公共图像数据库进行训练，能够精准判断个人衰老迹象。模型描述 FaceAge 深度学习流程包括两个阶段：面部定位和提取阶段，以及带有输出线性回归器的特征嵌入阶段，可提供生物年龄的连续估计。第一阶段通过在照片中定位人脸并在其周围定义一个边界框来预处理输入数据。然后对图像进行裁剪、调整大小，并在所有 RGB 通道上对像

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