"H&M" matching MCP servers:

Enables pushing text from an AI conversation to a low-cost BLE e-ink shelf label via an MCP tool, with rich-text markup, card-style letter layouts, and real-time SSE delivery to a phone control page. Also lets clients check current screen content, update time, push history, and whether a phone is online.

Enables AI assistants to interact with B\&R Automation Studio projects by building code, running ARsim simulators, and reading or writing OPC UA variables. It facilitates industrial automation development and real-time variable integration through natural language commands.

Enables LLMs to interact with embedded devices by reading and writing Segger RTT data through a J-Link debugger.

AI-powered FPGA power estimation assistant that wraps Xilinx PDM API as MCP services for natural language power modeling and analysis.

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.

Enables AI assistants to interact with STM32 development boards via J-Link debugger using RTT communication, supporting connection, logging, memory operations, and firmware flashing through natural language.

基于MCP协议的嵌入式板卡远程管理工具，提供串口、SSH和本地PowerShell的交互能力，支持会话管理、一键登录等功能。

Enables AI clients to compile and upload Arduino sketches, manage boards, cores, and libraries via arduino-cli, scaffold projects, and read serial output over stdio.

Enables AI assistants to debug ARM Cortex-M targets via GDB and OpenOCD, supporting attach, breakpoints, stepping, register/memory inspection, and SVD peripheral decoding.

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.

Enables AI-driven embedded development: generate, build, flash, and debug firmware using natural language commands through MCP.

Enables querying, searching, and comparing FANUC CNC parameters for the 0i-F Plus series.

Enables agents to look up ESP32-S3 PIE instruction encodings, pipeline use/def stages, register and peripheral-address data, and to estimate instruction-sequence stalls, with every answer cited to a specific page of the official Espressif TRM or Datasheet. It explicitly reports what the primary sources do not cover rather than guessing.