"Creating workflows in N8N automation platform" matching MCP servers:

An MCP server for controlling Siemens TIA Portal, enabling AI agents to connect, read PLC tags, list blocks, inspect project structure, and compile projects. This community edition provides 5 read-only tools under the MIT license.

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 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.

An MCP server that lets an AI assistant manage your Keenetic router in plain language — list connected devices, pin static DHCP leases, rename devices, check WAN status, and reboot.

Enables querying PCB and schematic data and driving DelphiScript automation in Altium Designer via MCP.

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.

Lets AI assistants search and read vendor documentation from the TIA Portal and Industrial Operations X portals in real time, exposing search, table-of-contents, publication-listing, and Markdown page-reading tools.

An MCP server for the Pebble smartwatch ecosystem, offering appstore search, a 64-color design toolkit, and build-emulator-screenshot development workflows as typed tools.

Agentic Hardware-in-the-Loop (Agentic HIL) lets coding agents develop firmware on real embedded boards: flash, reset, read UART and exchange CAN traffic, diagnose and fix. Local, policy-gated MCP tools support OpenOCD, pyOCD and STM32CubeProgrammer, with pytest for CI.

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.

Enables AI agents to interact with physical embedded target boards over a dual-CDC USB bridge using MCP tools. It exposes console reading, pattern waiting, command sending, reboot/login state machines, and in-RAM MicroPython execution while a single-owner daemon safely arbitrates access to the serial devices.

AI-driven USB oscilloscope control via FastMCP, enabling waveform capture, CSV export, and frequency measurements on PicoScope, Hantek, or a built-in simulator.

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 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.

Enables controlling robots in ROS environments through natural language, supporting topics, services, actions, and GUI tools.

Enables AI assistants to communicate with serial port devices, supporting port management, data transmission in text/binary modes, interactive terminal sessions, and automatic reconnection.

An MCP server that enables AI agents to read serial output from devices by buffering lines in the background and allowing polling for new output, preventing blocking on long-running serial monitors.

Enables MCP-speaking coding agents to talk directly to Home Assistant and the ESPHome dashboard: discovering entities and areas, reading live states, history and logs, rendering Jinja templates, calling services, and creating, editing or triggering automations and dashboards. Also allows ESPHome device configs to be read, validated, compiled and flashed, with all write operations off by default behind an explicit safety policy.

This server enables AI agents to fully control STM32CubeIDE and STMicroelectronics hardware, including GUI automation, headless builds, flashing, GDB debugging, option bytes, serial telemetry, and CubeMX .ioc engineering.

Automates Arduino CLI workflows including dependency checks, compile/upload, serial monitoring, and safety preflight checks, all running locally on your machine.