Control Philips Hue lights via AI agents using MCP serv

This template enables integration of Philips Hue smart lights with AI systems through an MCP-compatible server built on n8n. The automation receives commands from AI agents via HTTP webhook and executes lighting operations, acting as a bridge between artificial intelligence and smart home devices.

## Who it´s for
- AI agent developers looking to add smart home control without direct Hue API access.
- n8n automation users wanting to extend functionality with AI.
- Technical specialists building MCP-compatible services.
- IoT enthusiasts aiming to control lighting via voice or LLM assistants.

## What the automation does
- Receives requests from MCP-compatible AI agents via HTTP webhook.
- Processes commands: turn on/off, adjust brightness, get light info, list all lights, delete light.
- Communicates with Philips Hue API through n8n.
- Formats responses according to MCP and LangChain standards.
- Provides a reliable bridge between AI and physical devices.

## What´s included
- Ready-to-use n8n workflow.
- Logic for handling MCP requests.
- Integrations with Philips Hue and HTTP API.
- Basic textual instructions for launch and adaptation.

## Requirements for setup
- Philips Hue account with API access (local bridge).
- Running n8n instance (cloud or self-hosted).
- Access to webhook and environment variable settings.
- MCP-compatible AI agent or test client.

## Benefits and outcomes
- Simplifies AI integration with smart home devices.
- Reduces need for custom code per agent.
- Unified lighting control interface for multiple AI systems.
- Scalable foundation for future device additions.
- Compatibility with LangChain and MCP standards.

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via в чате.