"Designing UI (User Interfaces)" matching MCP servers:

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 AI assistants to access structured PLC brand, IEC 61131-3 language, and code-template knowledge so they can generate IDE-specific automation code from natural-language requests.

Enables Claude Code sessions to control a Rigol DS1054Z oscilloscope over USB, reading identity, settings, measurements, screenshots and waveforms, and applying undoable or destructive changes such as channel, timebase, trigger and acquisition configuration, run control, autoscale and reset. Tool calls come with read-only and destructive hints so safe operations can be auto-approved while risky ones stay behind user approval.

Enables AI assistants to create projects, design interfaces, compile, analyze timing, and program boards for Trion, Titanium, and Topaz FPGAs through a local Efinity installation.

Enables AI agents to program MicroPython boards such as Raspberry Pi Pico and ESP32 through Thonny, with visible shell commands and optional human approval.

MCP server for managing Raspberry Pi K3s clusters via AI assistants like Claude Code.

An MCP server that exposes WLAN Pi capabilities like device info, Wi-Fi scanning, service management, and VLANs to AI assistants via the wlanpi-core REST API.

Enables AI agents to turn natural-language hardware prompts into deterministic schematics and netlists, query live LCSC parts data, validate designs, calculate trace impedance, and estimate PCBA BOM costs through stdio MCP tools and resources.

Enables remote control and observation of the ESP32-2432S028 CYD desktop via USB serial, including status checks, app launching, touch/key input, file transfer, UI tree inspection, diagnostics, and execution control of MicroPython apps.

Enables lossless parsing, inspection, validation, simulation, and creation or editing of FATEK .ldr ladder-logic files through local stdio MCP tools, including a user-import-verified start/stop template. New files are written to an artifacts directory so existing files and original samples are never overwritten.

Enables LLM control of Moku devices through network discovery, connection management, configuration deployment, and signal routing. Supports graceful ownership handoff between different interfaces (CLI, iPad, LLM) for seamless workflow integration.

Enables reading and configuring an Unfolded Circle Remote Two or Remote 3 through the official Core REST API, exposing activities, touchscreen pages, profiles, integration entities, and physical-button mappings to MCP clients.

MCP server for NetCraze routers enabling management of static DNS hosts, system info, network interfaces, and other router features via Cursor and MCP clients.

Enables agents to work with local hardware engineering context — registered repositories, imported PDFs and documents, and user-created system diagrams — through stdio tools for bounded source search and file reading, document text extraction and PDF page/crop rendering, and reading or drafting system architecture models. It runs entirely on local storage with no code index, hosted backend, or model provider routing, leaving the agent's own model, keys, and permissions intact.

A professional MCP server for serial port communication, enabling AI assistants to list, connect, send/receive data, and manage serial connections with embedded systems, IoT devices, and hardware debugging hardware.

Enables GDB debugging for embedded development workflows, allowing users to start sessions, load programs, set breakpoints, step through code, and examine memory/registers/variables via natural language.

MCP server for inspecting PX4 ULog flight logs, enabling AI assistants to understand, debug, and reason about drone systems.

Gives AI assistants a fully offline toolchain for FlyThings OS human-machine interface development: converting HTML prototypes into JSON/FTU layouts, packaging and deploying firmware to devices, capturing real-device screenshots for pixel-diff acceptance, and generating i18n, tests, and bug reports. It also bundles a local vector-plus-BM25 knowledge base covering hardware models, UI control semantics, dependency manifests, and reusable components.

MCP server that provides tools, resources, and prompts to help LLMs build Svelte UI components for Q-SYS systems, including discovering components and controls from a Q-SYS Core.

MCP server for embedded debugging based on probe-rs, providing 22 tools for ARM Cortex-M and RISC-V microcontrollers, including connection, memory operations, breakpoints, flash programming, and RTT communication.