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.
All-in-one developer tool and MCP Server for Roku development, featuring ECP device control, automated channel sideloading, BrightScript debugging, and real-time log monitoring.
A headless MCP server that enables AI tools (like Claude Code) to read and analyze serial logs from embedded boards (ESP32, STM32) for firmware debugging, with read-only tools for log retrieval and a built-in web viewer.
AI-driven USB oscilloscope control via FastMCP, enabling waveform capture, CSV export, and frequency measurements on PicoScope, Hantek, or a built-in simulator.
Enables AI agents to control and display real-time notifications, telemetry, and custom apps on Ulanzi TC001 and compatible pixel clocks running Awtrix Light, including device management and declarative YAML-based metric polling.
Enables LLMs to control RIGOL oscilloscopes over SCPI via LAN or USB, including configuring channels/timebase/trigger, taking measurements, capturing waveforms and screenshots, decoding serial protocols, running FFT analysis, and controlling the built-in AFG.
MCP server for controlling CNC machines via Universal GCode Sender.
Lets Claude (or any MCP-compatible AI assistant) connect to a CNC machine, inspect G-code, and issue motion commands — all through the UGS Pendant REST API.
MCP server that enables AI assistants to debug IoT modules by sending AT commands over serial ports, with a built-in knowledge base for chip platform commands.
A stateful Bluetooth Low Energy (BLE) MCP server that enables AI agents to scan, connect, read/write characteristics, and subscribe to notifications on BLE devices.
Provides AI assistants with a complete FPGA toolchain for HDL linting, simulation, synthesis, and place-and-route across various hardware targets. It features a GitHub-backed IP core registry that enables users to search for and import MIT-licensed cores directly through their chat interface.
Enables AI assistants to communicate with serial port devices, supporting port management, data transmission in text/binary modes, interactive terminal sessions, and automatic reconnection.
Automates Arduino CLI workflows including dependency checks, compile/upload, serial monitoring, and safety preflight checks, all running locally on your machine.
Enables AI coding agents to build, flash, debug, and read feedback from STM32 development projects in Keil MDK, forming a closed loop to automatically fix code.
Enables AI assistants to connect to and control the IAR C-SPY debugger through MCP tools, supporting session lifecycle, run control, breakpoints, memory inspection, stack and locals viewing, disassembly, symbol lookup, and terminal I/O capture.