"A system or tool for enabling computer vision capabilities in an MCP (Microcontroller Platform)" matching MCP servers:

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.

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.

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.

Enables AI assistants to interact with physical serial port devices across platforms (Windows COM/Linux tty) with support for asynchronous communication, URC pattern recognition, and structured logging.

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

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

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.

An MCP server for controlling KR-series relay controllers via serial, TCP, or UDP, featuring auto-discovery, relay control, and advanced PLC capabilities.

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

MCP server for NetCraze routers enabling management of static DNS hosts, system info, network interfaces, and other router features via Cursor and MCP clients.

An MCP server that provides comprehensive debugging capabilities for J-Link debuggers, enabling memory, flash, register, and RTT operations through AI assistants.

An MCP server for controlling Rigol oscilloscopes from an AI assistant. It translates MCP tool calls into SCPI commands over PyVISA.

An MCP server that lets you define and run custom shell commands via YAML templates, with built-in tools for flashing and serial communication in embedded development.

Enables AI assistants to control an STM32 microcontroller over serial by reading/writing GPIO, setting LED brightness, reading ADC channels, and displaying text on an OLED screen via natural language.

A lightweight server that simplifies building and flashing Zephyr RTOS projects through a REST API, allowing remote control of the microcontroller programming workflow.

Modular MCP server for interacting with a Flipper Zero from MCP-capable clients (including Claude Desktop). Supports system info, BadUSB scripts, and music playback over USB or WiFi.

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.

MCP server for simulating firmware on virtual microcontroller instances, allowing AI agents to upload, run, and read UART output from supported boards such as STM32 and Nordic.

Bridges a RisalDash ESP32/ESP8266 device to MCP — every dashboard widget becomes a get_/set_ tool, so an agent can read sensors and toggle relays.

Argus is an Arm-native, MCP-enabled diagnostic and optimization platform for ROS 2 that bridges the gap between Arm hardware capabilities and ROS 2 deployment decisions. It enables AI agents to profile hardware, assess ROS 2 tiers, and generate optimized configurations.