"Using a Browser with Dev Tools to Debug a Web Application" matching MCP servers:

Enables AI agents to directly inspect and debug embedded hardware: reading/writing serial ports and bus devices, auto-detecting baud rates, parsing Modbus/NMEA/custom binary frames, plus diagnosing failures through a 45-rule fault-pattern library, error-code tables, and compile/flash error translation. Also provides pin-conflict checking, register and Cortex-M fault decoding, pre-validated driver and component selection libraries, board knowledge, and guarded flashing with post-flash byte-level verification.

Enables AI tools to perform full-featured embedded microcontroller debugging via pyOCD and CMSIS-DAP probes, including probe management, flashing, breakpoints, register/memory access, fault analysis, and RTT communication.

Enables AI agents to develop, deploy, navigate, inspect, and debug Roku BrightScript and SceneGraph applications with direct hardware control.

Enables agents to turn a plain-language description of a device into a complete, validated build package — parts list, 3D-printable parts, wiring, firmware code, picture assembly guide, and tests — that anyone can assemble without electronics experience.

Enables natural language command control of robots via ROS2, with a web portal for real-time visualization and interaction.

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.

Drives a SEGGER J-Link probe to debug microcontrollers, enabling firmware flashing, CPU halt/resume/reset/step, and reading or writing memory, peripheral registers and core registers. Also exposes an escape hatch for arbitrary J-Link Commander commands.

Provides serial debugging for embedded Linux targets, enabling boot log capture, automatic login, crash detection, U-Boot interrupt, and hardware reset via MCP protocol.

A Model Context Protocol (MCP) based server that efficiently manages PDF files, allowing AI coding tools like Cursor to read, summarize, and extract information from PDF datasheets to assist embedded development work.

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

Enables AI agents to program, debug, and diagnose STM32H7S3 microcontrollers through SEGGER J-Link, with stateful debug sessions, memory/flash operations, GDB integration, RTT logging, and safety controls.

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

Enables AI models and other MCP clients to load firmware images into a simulated microcontroller, then reset, run, step, and debug the virtual CPU while inspecting or modifying memory and registers, setting breakpoints, and driving peripherals and cl_hw plugins. Exposes this over stdio as a set of tools, with a session per simulator process and a raw-command escape hatch for anything else.

Connects embodied devices (like StackChan, Raspberry Pi, ESP32) to AI via MCP protocol, enabling motion control with zero API cost, no PC required, and fully self-hosted.

MCP server for TwinCAT 3 PLC development enabling AI coding agents to build, configure, deploy, and debug TwinCAT PLC projects through a standard tool interface.

An MCP server for source-grounded, page-cited evidence retrieval tailored for embedded and firmware development, returning verbatim snippets with exact citations or 'no match' to prevent fabrications.

Enables AI agents to control serial port devices (modems, instruments, embedded boards) via MCP tools for listing ports, connecting, and sending/receiving commands.

Provides AI agents with instant, structured access to electronic component datasheets, pinouts, and electrical specifications without requiring PDF uploads. It enables seamless part searching, design validation, and side-by-side component comparisons across major hardware providers.

MCP server that lets LLMs talk to serial devices: microcontrollers, routers, modems, embedded Linux, anything with a UART.

Lets AI assistants read, command, and debug microcontrollers over a serial connection via MCP. Provides tools for serial port discovery, reading serial output, sending commands, and decoding register values.