# Arduino MCP Server

> Use this tool when you need to control Arduino boards remotely using natural language commands, enabling real-time interaction with physical devices like LEDs. It solves problems of manual device control and allows for seamless integration with AI assistants through the Model Context Protocol and Firmata. The Arduino MCP Server takes natural language inputs and outputs device control signals, ideal for use cases requiring voice-activated automation.

Canonical page: https://skillsregistry.net/skills/aimanmadan-arduino-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/aimanmadan-arduino-mcp-server

## Description

Enables AI assistants like Claude to control Arduino boards in real-time, allowing users to turn LEDs on and off through natural language commands using the Model Context Protocol and Firmata.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g0ur71m1t9)
- **Repository:** <https://github.com/AimanMadan/Arduino_MCP_Server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "aimanmadan-arduino-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aimanmadan-arduino-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aimanmadan-arduino-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt