"Building a solid memory base for AI development" matching MCP servers:

Enables MCP clients to control emulated and physical MSX computers through openMSX automation or a hardware agent, including screen reading, BASIC input, memory/VRAM access, file transfer, and documentation search.

Enables automated generation of FreeRTOS embedded projects for chips like BK7252, STM32F4, and ESP32. Provides intelligent project structure creation, peripheral driver code generation, and complete embedded development workflows through natural language interaction.

MCP server that translates natural language commands into SCARA robot arm control instructions, featuring simulation mode, safety validation, and multiple transport modes (STDIO/HTTP/OAuth).

Enables AI agents to program MicroPython boards such as Raspberry Pi Pico and ESP32 through Thonny, with visible shell commands and optional human approval.

Enables AI agents to observe and control a browser-based 2D robot simulator, including driving, configuring sensors and modules, running programs, and generating wiring, firmware, and parts lists for ESP32, Arduino Uno, or Raspberry Pi.

Enables AI assistants to control Saleae Logic analyzers, capture and analyze digital/analog signals, and export data via MCP.

Provides read-only MCP tools for parsing KiCad netlists and schematics, running evidence-based audits, and generating deterministic sizing and BOMs.

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 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.

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.

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.

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

Enables AI coding assistants to perform complete headless STM32 embedded firmware development, including project creation, pin configuration, code generation, building, and flashing, by driving the official STM32 command-line toolchain.

Enables AI agents to turn natural-language hardware prompts into deterministic schematics and netlists, query live LCSC parts data, validate designs, calculate trace impedance, and estimate PCBA BOM costs through stdio MCP tools and resources.

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

Enables AI agents to control a Teledyne LeCroy USB protocol analyzer through its automation API, supporting recording control, trace analysis, packet inspection, reports, and exports.

A professional MCP server for serial port communication, enabling AI assistants to list, connect, send/receive data, and manage serial connections with embedded systems, IoT devices, and hardware debugging hardware.

MCP server for inspecting PX4 ULog flight logs, enabling AI assistants to understand, debug, and reason about drone systems.

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.

A template for building MCP backends for lab equipment with an embedded Echo example for immediate testing and development.

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.

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 ESP-IDF firmware development through MCP by providing tools to manage ESP32 targets, serial ports, and project compilation/building operations.

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.

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.

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.

Enables MCP clients to control a Nordic PPK2 for power profiling: configure source/measurement modes, set voltage, power DUT, measure current/power/energy, and capture logic channels.

Check 22,000+ devices with open firmware or open protocols (OpenWrt, LineageOS, coreboot, Zigbee2MQTT, Tasmota…) before reverse engineering one; claim a device while you work on it and publish your findings when done.

An MCP server for Nordic nRF Connect SDK development that enables users to list, read, and search documentation and sample code from the nrfconnect/sdk-nrf repository. It provides Claude with specialized tools to navigate SDK resources, source files, and configuration examples directly through the GitHub API.

An MCP server that provides AI coding assistants with access to official ARM CMSIS SVD hardware register definitions for microcontrollers. It enables precise querying of register names, bit positions, and addresses to prevent hallucinations during embedded systems development.

MCP server providing embedded engineering calculators and code generators as tools for AI agents, enabling precise, deterministic embedded math and C code generation.

MCP server that wraps STM32CubeMX CLI to let AI load .ioc projects, modify pin/peripheral configurations, generate HAL code, and export pinout tables.

Standalone TypeScript MCP server for micrOS devices. Enables discovering devices, inspecting device cache, running micrOS commands, and discovering each device's available module commands.

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.

Enables AI agents to compile, flash, erase, and read serial output from embedded development boards, with guardrails such as budget limits, serial port mutexes, and mandatory human confirmation for destructive operations.

Provides AI coding tools with queryable documentation for the AK (Active Kernel) event-driven MCU framework, including API signatures, guides, and guardrails.

Enables LLMs to communicate with hardware devices via serial ports. Provides tools for listing ports, opening/closing connections, reading/writing data, and controlling serial signals.