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Arduino MCP Server

Arduino MCP Server

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@hardware-mcp17JavaScriptMITUpdated 2w ago

Arduino MCP server for CLI setup, board detection, compile/upload, serial monitoring, and pin refs.

arduino-mcp-server

npm version License: MIT Node.js 20+

Give your AI assistant full control over Arduino — compile, upload, monitor serial, and verify wiring safety, all through natural language.

Part of the HardwareMCP ecosystem — open-source MCP servers that bridge AI to physical hardware.


What this does

AI assistants can control Jira, GitHub, and databases. They can't talk to a microcontroller — until now.

arduino-mcp-server wraps arduino-cli into an MCP server so your AI can:

  • Detect connected boards and ports automatically
  • Compile and upload sketches without touching the terminal
  • Monitor serial output with stateful sessions (open, read, expect, write, close)
  • Run electrical safety checks before sending commands to hardware
  • Manage dependencies — cores, libraries, and CLI installation

Quick Start

Install:

npm install -g arduino-mcp-server

Add to Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "arduino": {
      "command": "npx",
      "args": ["-y", "arduino-mcp-server"],
      "env": {
        "ARDUINO_CLI_PATH": "arduino-cli",
        "ARDUINO_SKETCH_ROOT": "/path/to/your/sketches"
      }
    }
  }
}

Requires arduino-cli on your PATH, or let the server install it for you.


What you can say

Bootstrap from scratch:

"Check if Arduino CLI is installed and set everything up for an Arduino Uno."

Compile and upload:

"Compile my Blink sketch and upload it to the Uno on COM6."

Serial monitoring:

"Open serial on COM6 at 115200 and wait until the device prints READY."

Safety-first workflows:

"Run a safety preflight for an Arduino Uno with 5V on pin 13 at 25mA before I send commands."


Tools

ToolWhat it does
arduino_cli_doctorCheck Arduino CLI installation and version
install_arduino_cliGuide through arduino-cli installation
detect_hardwareDetect connected boards and infer FQBNs
list_connected_boardsList all connected Arduino boards
list_serial_portsList available serial ports
ensure_core_installedCheck/install board cores
compile_sketchCompile a sketch for a target board
upload_sketchUpload compiled sketch to a board
upload_and_wait_readyUpload and wait for device ready signal
serial_open_sessionOpen a stateful serial session
serial_readRead buffered serial data
serial_expectWait for a pattern in serial output
serial_writeSend data over serial
serial_close_sessionClose a serial session
serial_list_sessionsList active serial sessions
read_serial_snapshotQuick one-shot serial read
safety_preflightElectrical safety check before hardware ops
get_board_detailsGet pin/capability details for a board
list_supported_boardsList all boards arduino-cli supports
list_board_referenceBrowse board pin reference
search_board_referenceSearch board reference by keyword

Resources:

  • arduino://boards/reference — structured board pin/capability reference

Prompts:

  • arduino-cli-bootstrap-policy — policy for arduino-cli setup behavior
  • arduino-setup-assistant — guided Arduino environment setup

Safety preflight guardrails

safety_preflight (and the safetyContext passed to upload_sketch, upload_and_wait_ready, and serial_write) now also covers battery and ESP32-family pin footguns, driven by small, extensible data tables rather than hardcoded to any one board:

Battery charge-rate (C-rate) check — pass a battery object (capacityMah, chargeCurrentMa, chemistry) and the check computes chargeCurrentMa / batteryCapacityMah and flags it:

  • BATTERY_CRATE_UNSAFE (hard, blocking) above 1C
  • BATTERY_CRATE_CAUTION (soft, non-blocking) above 0.5C

Generic small LiPo cells are commonly rated for roughly a 0.5–1C safe charge current, so the message spells out the math, e.g. "380mA into a 100mAh cell is a 3.8C rate — well above the ~0.5-1C safe range for typical small LiPo cells; verify your cell's actual rated charge current before proceeding." If chargeCurrentMa is omitted, it's inferred from a small board → onboard-charge-IC lookup table (currently seeded with Seeed XIAO ESP32S3, XIAO ESP32S3 Sense, and XIAO ESP32C3 — see data/battery-charge-ic-reference.json, easy to extend with more boards). These are approximate, manufacturer-published figures — verify against the live datasheet/wiki for your exact board revision before trusting them in a production workflow.

Battery polarity confirmation — when battery.connecting: true (or any battery field is set) but battery.polarityConfirmed isn't explicitly true, the preflight blocks with BATTERY_POLARITY_UNCONFIRMED and a reminder to never assume BAT+/BAT- from wire color. On Seeed XIAO boards it cites the official convention: the negative pad is closest to the USB-C port, positive is farthest from it.

ESP32-family pin safety (table-driven per board via data/board-reference.json):

  • SPI-flash pins (GPIO6-11 on classic ESP32 WROOM/WROVER modules) — hard error (SPI_FLASH_PIN_USED); wiring these prevents boot.
  • Boot-strapping pins (GPIO0/2/12/15 on classic ESP32) — caution; usable at runtime but risky if externally held during boot/reset (existing check).
  • Input-only pins with no internal pull resistor (GPIO34-39 on classic ESP32) — caution (NO_INTERNAL_PULL_PIN); add an external pull-up/pull-down if using them as buttons/switches.
  • Seeed XIAO ESP32S3 — modeled with its 11 usable GPIO (D0-D10), default I2C on D4/D5, and an informational note surfaced whenever D6/D7 are wired: they're hardware UART1 TX/RX by default, but enabling "USB CDC on Boot" frees them as plain GPIO.

Board data for all of the above lives in JSON, keyed by board id/FQBN, so more boards can be added without touching guardrail logic.


Configuration

VariableDefaultDescription
ARDUINO_CLI_PATHarduino-cliPath to arduino-cli binary
ARDUINO_SKETCH_ROOT(none)Restrict sketch paths to this directory

Development

git clone https://github.com/hardware-mcp/arduino-mcp-server
cd arduino-mcp-server
npm install
npm run typecheck
npm test
npm run build
npm run dev

Part of HardwareMCP

This server is part of the HardwareMCP ecosystem — a collection of MCP servers that give AI assistants real control over physical hardware.


License

MIT — see LICENSE.

Support

Open an issue