"MCP tools for monitoring application memory and CPU usage" matching MCP servers:

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.

MCP server for running shell commands on a Linux development board via UART serial.

Runs a Model Context Protocol server directly on Axis cameras, enabling any MCP-capable AI to inspect and control the camera without cloud or middleware.

An MCP server that turns the Game Boy Pan Docs into precise, citable lookups for registers, opcodes, memory, cartridges, and CPU behavior, enabling decompilation work.

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

Enables MCP clients to connect to and interact with Siemens PLCs via python-snap7, supporting read/write operations on data blocks, memory, timers, counters, and CPU management.

MCP server for AI-assisted MCU and embedded firmware debugging. It connects to real hardware via debug probes, inspects CPU/memory/peripherals, manages Keil builds, and provides structured evidence for fault diagnosis.

Enables interaction with Qualcomm modems via the DIAG/QCDM protocol over serial ports, providing tools for NV read/write, memory peek/poke, and EFS file operations.

Connects AI agents to Siemens industrial PLCs for automatic monitoring and control of industrial equipment.

Control a Siglent SPD1305X (or SPD1000X series) programmable DC power supply from Claude Code over Ethernet using SCPI commands, with safety limits and monitoring tools.

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 agents to control USB power for embedded development boards via Yepkit YKUSH hubs, allowing power switching, monitoring, and power-cycling through MCP tools.

Enables users to manage Android ROM projects through MCP by importing, unpacking, repacking, and synthesizing images, DAT/BR files, and super partitions using the toolkit’s shared workflows.

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.

Enables LLMs to interact with vehicle CAN bus and OBD-II data through a simulated ECU environment. Provides tools for reading frames, decoding messages via DBC files, monitoring signals, and querying automotive diagnostics without requiring physical hardware.

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.

Enables agents to query LAVA board farms, submit and manage test jobs, and open interactive board sessions via the LAVA REST API.

Enables Claude Code to build, flash, and communicate with STM32 hardware over SWD and serial, including multi-board management, live memory monitoring, and hardware sequences.

Enables reading UART logs from Windows serial ports and sending text to the UART through MCP, with an optional Tkinter UI for local monitoring.

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.