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.
This MCP server acts as a local stdio proxy for whatic.io's remote IC-discovery server, enabling MCP clients to search electronic components and retrieve part specs, comparisons, and images.
An MCP server that enables AI assistants to control Siglent SDS oscilloscopes over a local network using SCPI commands. It allows users to measure signals, configure channel and acquisition settings, and capture waveforms or screenshots through natural language.
Enables Claude to create, update, and manage LED patterns on a PixelBlaze controller, including setting brightness and reading device info, through a set of tools that interact with the device's API.
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.
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 enabling AI agents to search FTC SDK samples, scaffold OpModes, build and deploy TeamCode to REV Control Hub, and read robot logs for a full code-robot-debug loop.
MCP server that lets AI assistants control Siglent SDG waveform generators over a local network using natural language, supporting signal generation, modulation, sweep, burst, and arbitrary waveforms.
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.
A read-only MCP server for AI agents to understand KiCad projects through progressive disclosure, providing compact summaries and drill-down tools for components, nets, traces, and ERC/DRC checks without blowing context budgets.
A Model Context Protocol (MCP) server that exposes lnav log file analysis capabilities to AI assistants, specifically optimized for Kvaser Plain Text Log Frame CAN bus log processing.
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 MCP-capable agents to drive a real FPGA toolchain end to end—simulating, asserting, synthesizing, scanning JTAG, capturing on-chip waveforms, and configuring real silicon behind confirmation gates.