"NVIDIA Isaac Sim Robotics Simulation Platform" matching MCP servers:

Control real robots and IoT devices through AI agents. Self-register with wallet authentication, pay with ETH for tier upgrades, and execute Vision-Language-Action commands. Features robot control, sensor monitoring, multi-agent coordination, and autonomous payments.

Enables MCP-compatible assistants to inspect and diagnose NVIDIA Shield TV and Kodi over a local network, including redacted logs, playback and add-on checks, settings changes, reversible repairs, backups, and rollback. It runs locally and defaults to read-only until writes or plugin browsing are explicitly enabled.

Enables AI agents to control hardware devices like Arduino, Raspberry Pi, 3D printers, CNC machines, and custom robots via serial ports and HTTP. Provides tools for device discovery, command sending, sensor reading, servo control, G-code execution, and emergency stops with safety features.

Enables AI agents and humans to control various hardware boards (ESP32, Arduino, Raspberry Pi, etc.) through a unified API via MCP, with real-time dashboard support.

Lets an MCP client read port, statistics, VLAN and PoE status from TP-Link Easy Smart switches and, when explicitly gated, power-cycle a wedged PoE camera over the LAN without opening the switch's web UI. It talks the switch's HTML/cgi protocol directly, with double-gated writes, dry-run, protected ports, and lockout-aware failure handling.

Enables AI agents and MCP clients to talk directly to a local TP-Link VIGI NVR over its JSON API, reading device, camera, storage, and recording data, managing channels, and exporting footage as clips or snapshots over RTSP. Every mutating action is double-gated and dry-runnable, and authentication is engineered around the NVR's account-lockout so an agent cannot lock you out of your own recordings.

Enables MCP-capable clients to query verified physical context through location sensing, operability checks, and domain listing, while preserving evidence provenance and explicitly reporting unavailable inputs.

Enables AI clients to connect to live IoT deployments, read devices, provision hardware, deploy automation rules, manage alarms, and send commands to physical equipment.

Enables access to SORACOM IoT platform data including Harvest sensor data, file storage, SoraCam camera footage/events, and SIM statistics through authenticated API calls.

An MCP server that integrates Arduino-based robotics (ESP32 or Arduino Nano) with AI, allowing control of hardware components like LEDs, motors, servos, and sensors through AI assistants.

A Model Context Protocol (MCP) server that allows AI assistants like Claude to control real smart bulbs via UDP network communication, featuring voice commands, AI reasoning, and direct hardware control.

MCP server that translates natural language commands into SCARA robot arm control instructions, featuring simulation mode, safety validation, and multiple transport modes (STDIO/HTTP/OAuth).

Enables any AI agent to control a Pollen Robotics Microduck through MCP, including walking, sitting, picking objects, reading health, and stopping, with support for mock, simulated, or real hardware transports.

MCP server for Smart Compost platform that lets LLM agents list composting processes/devices and pull measurements as read-only tools.

Lets an MCP client control an NVIDIA Shield TV over the Android TV Remote protocol v2 by pressing remote keys, launching allow-listed apps, waking or sleeping the device, and reading its power state and foreground app.

MCP server for PTC ThingWorx, the IIoT platform, providing 8 tools for AI agents to read live state and trigger actions across the industrial asset graph with env-gated safety for writes and invocations.

Enables AI assistants to search, read, author, edit, favorite, and privately or publicly publish recipes on the Lidl cooking platform, including converting Paprika/Thermomix instructions into Smart device programs with automatic weighing steps.

MCP server that gives AI agents direct access to IoT devices via the jettyd platform, enabling control and monitoring of ESP32 devices through natural language.

Enables AI agents to manage EMQX Cloud through separate Platform and Deployment API connections, covering project and deployment lifecycle, MQTT client, subscription and metric inspection, built-in authentication users and ACL rules, banned lists, retained messages, publishing, and data integration. It is read-only by default, with opt-in flags for write, destructive, and integration operations.

Enables natural language interaction with Connhex IoT platform APIs for managing devices, telemetry, rules, and resources via MCP tools.

Exposes sylvia-iot-core management APIs as tools for AI assistants, enabling IoT platform management via natural language.

MCP server for the AIRIOT IoT platform, enabling AI assistants to manage data tables, records, devices, alarms, files, and more through natural language.

Enables AI models to interact with TagoIO IoT platform accounts, providing access to device management, real-time data analysis, and AI-powered code generation for IoT development workflows.

Enables MCP clients to interact with the Ubidots IoT platform for managing IoT devices, data, and automation through natural language.

An integration server that connects AI models with ThingsPanel IoT platform, allowing AI assistants to interact with IoT devices through natural language for device control, data retrieval, and management operations.

Connect your AI workflows to the ThingsBoard IoT Platform through this MCP server. Enables LLMs to query device telemetry, manage IoT entities (devices, assets, customers), and analyze sensor data - all through natural language. Perfect for building AI-powered IoT monitoring, predictive maintenance,

Enables AI assistants to interact with Mender IoT platform for device management, deployment monitoring, and fleet analysis through natural language commands. Provides read-only access to device status, deployment logs, releases, and system monitoring capabilities.

Enables AI assistants to control and query a smart-home platform through natural language, including device services, states, automations, scripts, dashboards, history, and system management.

MCP server for the CultivarIA platform, enabling AI assistants to query real-time and historical telemetry from cultivation modules, analyze plant health, and control actuators like irrigation and climate systems via standardized tools and resources.

Local voice and AI platform for macOS offering speech recognition, speech synthesis, MLX-based inference, OpenAI-compatible APIs, and MCP tools for use as an assistant or integration gateway.