
Overview
What if your AI assistant could do more than answer questions β what if it could control your entire smart home? This project demonstrates exactly that by integrating Shelly Cloud APIs directly into Claude, turning the AI into a powerful home automation hub.


π§ The Goal
The aim was to link daily-use AI assistants (Claude, Gemini, ChatGPT, or Copilot) with Shellyβs smart ecosystem β without relying on third-party bridges. The solution: a custom-built MCP (Model Context Protocol) server running locally, designed to connect Shelly Cloud APIs straight to the AI.
π§ How It Works
Local MCP Server: Acts as a translator between the AI and the Shelly Cloud APIs.
Direct API Calls: The AI can fetch device states, trigger actions, or check automation logic.
Natural Commands: Users simply ask Claude things like βTurn off the living room lightsβ or βCheck if the garage door is closed,β and the AI responds instantly.

π‘ Whatβs Possible
This setup means:
All Shelly devices (lights, plugs, relays, sensors) are instantly controllable via AI.
No app-switching β everything happens through conversational requests.
Itβs scalable to other AI assistants (Gemini, ChatGPT, Copilot, etc.) with the same MCP server.

π Why It Matters
Natural control: Talking to an AI to manage your home feels seamless and intuitive.
Flexible integrations: No lock-in β this works with multiple assistants and platforms.
Future-ready: Opens the door for more complex automations, routines, and data-driven triggers.
π The Outcome
Now, the AI isnβt just conversational β itβs actionable. Through Claude, every Shelly device in the home can be accessed, switched, or monitored. Itβs the next step in making home automation invisible, intuitive, and intelligent.

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