"Debugging software using GDB (GNU Debugger)" matching MCP servers:

Enables AI agents to debug embedded systems by providing a comprehensive interface for GDB operations across multiple architectures like ARM and x86. It supports remote debugging via gdbserver or QEMU, allowing for detailed inspection of memory, registers, stack frames, and variables.

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.

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

Enables AI assistants to connect to and control the IAR C-SPY debugger through MCP tools, supporting session lifecycle, run control, breakpoints, memory inspection, stack and locals viewing, disassembly, symbol lookup, and terminal I/O capture.

Connects MCP clients to live EasyEDA Pro projects, enabling schematic and PCB inspection and editing through natural language.

An OpenOCD debug MCP server that manages debugging targets and sessions by reusing VS Code launch configurations. It enables firmware flashing, GDB command execution, and real-time status monitoring of embedded systems.

MCP server for debugging STM32 microcontrollers over ST-LINK using STM32CubeCLT tools (GDB, ST-LINK_gdbserver, STM32_Programmer_CLI) with session management, flashing, breakpoints, memory/register access, and expression evaluation.

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.

FastMCP-based GDB debugging server for high-performance, stable debugging with command queuing and session management.

A dynamic-analysis MCP server for reverse-engineering the Broadcom BCM6726b0 WiFi driver, enabling live GDB debugging of the QEMU dhd harness with breakpoints, stepping, and memory inspection.

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.

Enables controlling multiple USBTMC (USB Test and Measurement Class) devices simultaneously using SCPI commands through a unified MCP interface.

Serial and GDB/SWD MCP servers for real hardware: agents read consoles, drive U-Boot, set breakpoints, and probe unknown Cortex-M boards.

An MCP server that lets AI tools drive Keil uVision debugging sessions for ARM Cortex-M targets, enabling expression/variable reads, memory access, run control, breakpoints, and trace capture.

MCP server for scaffolding, building, and flashing bare-metal STM32C011 firmware using the STM32CubeCLT toolchain. Exposes tools for project scaffold, build, flash, and probe listing.

Automates the Sigmatek LASAL software suite for PLC and HMI engineering, enabling AI assistants to inspect projects, apply structural changes, compile, download to hardware, and control PLC runtime.

Provides an MCP knowledge base and tools for porting LuneOS to Android devices, covering kernel porting, boot images, GSI building, Yocto bring-up, nyx-modules, and a staged debugging playbook.

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.

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.