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Aqara MCP Server

MCP Server

AI‑driven smart home control via Model Context Protocol

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Updated Sep 21, 2025

About

Aqara MCP Server is a Go‑based service that exposes Aqara smart home devices and scenes through the Model Context Protocol, enabling seamless integration with AI assistants for device control, querying, scene execution, and automation.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Overview

Aqara MCP Server is a dedicated gateway that brings the Aqara smart‑home ecosystem into the realm of modern AI assistants. By exposing a set of MCP‑compliant tools and prompts, it allows conversational agents such as Claude or Cursor to discover, query, and control Aqara devices without leaving the chat interface. The server acts as a bridge between the user’s device cloud and the AI, translating natural‑language requests into authenticated API calls that respect Aqara’s security model.

The core value of this MCP server lies in its ability to turn a home automation platform into an interactive, context‑aware assistant. Developers can build applications where users simply say “turn on the living room lights” or “set the bedroom scene to night mode,” and the AI will retrieve the relevant device list, resolve the correct identifiers, and issue a command. Because all interactions go through the MCP protocol, any assistant that understands MCP can plug into Aqara’s ecosystem with minimal custom code.

Key capabilities include fine‑grained device control (on/off, brightness, color temperature, mode), flexible querying of devices by room or type, scene management (listing and executing user‑defined scenes), historical status logs for auditing or trend analysis, scheduled automation configuration, and multi‑home support. The server also implements a secure authentication flow that combines login authorization with request signing, ensuring that only authorized assistants can manipulate user devices.

Typical use cases span from voice‑activated home control to advanced automation scripting. For example, a chatbot can ask the user for preferred lighting settings and then schedule a gradual dimming routine. In enterprise environments, developers can embed the server into custom dashboards or integrate it with other IoT platforms, leveraging the MCP interface to keep all assistants in sync. The cross‑platform Go implementation means it can run on a Raspberry Pi at home, a cloud VM, or within containerized environments, making deployment flexible for hobbyists and enterprises alike.