IoT and Device Control MCP Repositories

Simulates and interacts with a CO2 sensor device, providing real-time monitoring of CO2 levels and device connectivity management. Supports both simulation and real modes, with JSON-RPC for device interaction and data publishing.

Integrates IoT devices with AI models for natural language control and data analysis. Simplifies connection to IoT infrastructure through a standardized interface.

A Windows control server utilizing nut.js and MCP, enabling functionalities like mouse and keyboard control, window management, and screen capture operations.

Control audio playback on a computer, manage audio files, and ensure secure access through directory isolation.

Facilitates real-time MIDI control and programmatic sound design for Elektron Digitone synthesizers, enabling interactions through AI models. Generate and modify various sound designs using the Digitone's capabilities.

DroidMind enables control of Android devices using AI through natural language commands. It facilitates tasks such as debugging, system analysis, and app management in an integrated environment with the Model Context Protocol.

Enables monitoring and remote control of Nvidia Jetson boards through natural language commands via network clients. Accesses hardware and software information using SSE transport for efficient management.

Transforms natural language commands into ROS commands for robot control, facilitating complex task execution and environmental adaptation. Compatible with both ROS and ROS2 systems through WebSocket-based communication.

Connect with various 3D printer management systems to control and manipulate prints, enabling tasks such as monitoring print status and managing print files.

Provides access to Shodan's API for querying detailed information about internet-connected devices and services, enhancing cybersecurity research and threat intelligence. Features include host information retrieval, advanced search capabilities, network scanning, SSL certificate data, and IoT device searches.

Manage and control network resources using ONOS's SDN capabilities, providing access to network devices, topology information, flow rules, and comprehensive analytics through a structured API interface.

Manage and analyze time series data efficiently with a database optimized for industrial IoT applications. Integrates seamlessly with Hadoop and Spark for enhanced data handling using SQL-like commands.