# IntelliGlow Smart Lighting

> Use this tool when you need to integrate AI assistants with smart lighting systems, enabling voice-controlled lighting management and automation. It solves problems in home automation, IoT device management, and voice-controlled lighting by providing a UDP network interface for discovering, connecting to, and controlling physical smart bulbs. With inputs including voice commands and IP ranges, and outputs including real-time bulb status and control signals, it streamlines smart lighting control in various contexts.

Canonical page: https://skillsregistry.net/skills/intelliglow-smart-lighting  
JSON: https://api.skillsregistry.net/v1/skills/intelliglow-smart-lighting

## Description

This MCP server provides intelligent smart lighting control through UDP network communication, enabling AI assistants to discover, connect to, and control physical smart bulbs on local networks with voice command integration. Built with Python using asyncio and FastMCP, it offers comprehensive bulb management including network discovery across IP ranges, real-time status monitoring, RGB color control, brightness adjustment, and power management through UDP packet communication. The implementation features automatic bulb discovery, persistent connection management, voice interface integration with speech recognition, and robust error handling with retry mechanisms, making it valuable for home automation workflows, IoT device management, and voice-controlled lighting systems where AI assistants need direct hardware integration.

## Trust

- **Trust score (0–1):** 0.72
- **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:** [PulseMCP](https://www.pulsemcp.com/servers/intelliglow-smart-lighting)
- **Repository:** <https://github.com/shree-bd/intelliglow-ai-voice-mcp-iot-platform>

## 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": "intelliglow-smart-lighting"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/intelliglow-smart-lighting` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/intelliglow-smart-lighting/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