# Smart Home Device Control MCP Server

> Use this tool when you need to integrate AI models with smart home devices, enabling control and querying of devices such as air conditioners, lights, and locks through a backend API. It solves problems related to home automation, device management, and data retrieval, providing inputs such as device commands and queries, and outputs including device status and information. Ideal for use cases requiring seamless interaction between AI systems and smart home devices, streamlining automation and control processes.

Canonical page: https://skillsregistry.net/skills/sysu-aicpm-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/sysu-aicpm-mcp-server

## Description

Enables AI models to control and query smart home devices (air conditioners, lights, locks, cameras, refrigerators) through a backend API. Supports device control operations, status queries, and detailed device information retrieval with built-in documentation for proper device usage.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h8h7heeff5)
- **Repository:** <https://github.com/sysu-aicpm/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": "sysu-aicpm-mcp-server"
    }
  }
}
```

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