"Pi-hole" matching MCP servers:

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

MCP server for managing Raspberry Pi K3s clusters via AI assistants like Claude Code.

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 search a catalog of MCP servers for physical hardware such as ESP32, Arduino, Raspberry Pi, 3D printers, Home Assistant devices, cameras, Zigbee and lab gear, returning install commands and ready-to-paste client configs. It also supports browsing device families and getting ranked recommendations for a specific device or model.

Enables MCP-speaking coding agents to talk directly to Home Assistant and the ESPHome dashboard: discovering entities and areas, reading live states, history and logs, rendering Jinja templates, calling services, and creating, editing or triggering automations and dashboards. Also allows ESPHome device configs to be read, validated, compiled and flashed, with all write operations off by default behind an explicit safety policy.

An MCP server that exposes WLAN Pi capabilities like device info, Wi-Fi scanning, service management, and VLANs to AI assistants via the wlanpi-core REST API.

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.

Enables SSH and UART/serial port access for Claude Code to directly control remote devices like Raspberry Pi, embedded systems, and IoT devices. Supports command execution, file transfers via SFTP, and serial communication.

Controls a running KiCad 9+ instance via the official IPC API, enabling board edits, queries, and exports without reload.

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.

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.

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

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.

MCP server for Raspberry Pi peripheral bus access, enabling AI agents to interact with CAN, I2C, SPI, UART, and GPIO directly through natural language.

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.

MCP server that enables AI agents to interact with Vector CANoe for automotive bus testing and diagnostics using natural language commands.

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

Enables AI agents to control hardware devices like Arduino, Raspberry Pi, 3D printers, CNC machines, and custom robots via serial ports and HTTP. Provides tools for device discovery, command sending, sensor reading, servo control, G-code execution, and emergency stops with safety features.

Enables planning Arduino/ESP32/Raspberry Pi robotics builds with correct pinouts, wiring diagrams, board references, and code skeletons based on verified component specs.