Skip to main content
Glama

IntelliGlow

by shree-bd
README.md7.91 kB
# 💡 IntelliGlow - AI-Powered Smart Lighting **"Smart lighting, brilliantly simple"** IntelliGlow is a Model Context Protocol (MCP) server that allows AI assistants like Claude and ChatGPT to control **real smart bulbs** via UDP network communication. This Python implementation features voice commands, AI reasoning, and direct hardware control. ## 🏗️ **Architecture** ``` Voice/AI ──> IntelliGlow MCP ──> UDP Network ──> Smart Bulb (192.168.1.45:4000) ``` **The smart bulb system that actually thinks!!** ## 🌟 **Features** ### **🔴 Real Hardware Support** - **UDP Network Communication**: Direct communication with real smart bulbs - **Default Bulb Configuration**: Connects to `192.168.1.45:4000` by default - **Network Discovery**: Automatically find smart bulbs on your network - **Connection Management**: Persistent connections with auto-reconnect ### **🎤 Voice Intelligence** - **Natural Voice Commands**: "Turn on lights", "Set brightness to 75", "Make it blue" - **AI-Powered Parsing**: Understands context and natural language - **Text-to-Speech Feedback**: Speaks responses back to you - **Smart Color Recognition**: Recognizes color names and descriptive terms ### **🧠 AI Integration** - **MCP Protocol**: Works with Claude, GPT, and other AI models - **Context Understanding**: AI can reason about lighting needs - **Workflow Integration**: Bulbs become part of larger AI workflows - **Learning Capability**: Can adapt to user patterns and preferences ### **🔧 Smart Bulb Control** - **Power Control**: Turn bulbs on/off via UDP commands - **Brightness Control**: Adjust brightness levels (0-100%) - **Color Control**: Full RGB control with hex color codes (#FF0000) - **Status Monitoring**: Get real-time bulb status - **Ping/Connectivity**: Test network connectivity to bulbs ### **🌐 Network Features** - **Multi-bulb Support**: Connect to multiple bulbs simultaneously - **Discovery**: Scan network for available smart bulbs - **Environment Configuration**: Set bulb IP/port via environment variables ## 🚀 **Quick Start** ### **Installation** 1. **Install IntelliGlow**: ```bash # Core system pip install -e . # With voice capabilities pip install -e .[voice] ``` 2. **Configure your bulb** (optional): ```bash export BULB_IP=192.168.1.45 # Your bulb's IP export BULB_PORT=4000 # Your bulb's port ``` ### **Running IntelliGlow** ```bash # 1. MCP server only (for AI integration) mcp-server-smartbulb # 2. Voice interface only mcp-server-smartbulb-voice # 3. Complete IntelliGlow system (voice + AI + MCP) python voice_enabled_server.py ``` ### **Testing Network Connectivity** ```bash # Test UDP communication with your real bulb python test_network_bulbs.py ``` ## 🔧 **AI Integration (Claude Desktop)** Add this to your Claude Desktop `claude_desktop_config.json`: ```json { "mcpServers": { "intelliglow": { "command": "python", "args": ["-m", "mcp_server_smartbulb.network_server"], "cwd": "/path/to/your/IntelliGlow", "env": { "BULB_IP": "192.168.1.45", "BULB_PORT": "4000" } } } } ``` ## 🛠️ **Available Commands** ### **🎤 Voice Commands** - *"Turn on the lights"* - Power control - *"Set brightness to 75 percent"* - Brightness with smart parsing - *"Make it blue"* - Color recognition - *"How are the lights?"* - Status inquiry - *"Find smart bulbs"* - Network discovery ### **🤖 MCP Tools (for AI)** - `discover_bulbs()` - Find smart bulbs on the network - `connect_to_bulb(ip, port)` - Connect to a specific bulb - `turn_on_bulb(ip, port)` - Turn on a bulb via UDP - `turn_off_bulb(ip, port)` - Turn off a bulb via UDP - `set_bulb_brightness(brightness, ip, port)` - Set brightness (0-100) - `set_bulb_color(color, ip, port)` - Set color using hex codes - `get_bulb_status(ip, port)` - Get current bulb status - `ping_bulb(ip, port)` - Test connectivity to a bulb ## 📡 **Network Configuration** ### **Default Bulb Setup** IntelliGlow connects to `192.168.1.45:4000` by default. You can override this: ```bash export BULB_IP=192.168.1.100 export BULB_PORT=4001 ``` ### **Bulb Configuration File** Create `bulb_config.json`: ```json { "default_bulb": { "ip": "192.168.1.45", "port": 4000, "timeout": 5.0 }, "discovery": { "enabled": true, "timeout": 10.0, "port_range": { "start": 4000, "end": 4010 } } } ``` ## 🔍 **IntelliGlow vs Traditional Solutions** | Feature | **Alexa/Google** | **IntelliGlow** | |---------|------------------|-----------------| | **Voice Control** | ✅ Basic commands | ✅ Natural language + AI reasoning | | **AI Integration** | ❌ Limited ecosystem | ✅ Works with any AI model (Claude, GPT, etc.) | | **Hardware Control** | ❌ Cloud-dependent | ✅ Direct UDP networking | | **Customization** | ❌ Vendor limitations | ✅ Full control over protocol | | **Context Understanding** | ❌ Simple keywords | ✅ AI understands context and workflows | | **Privacy** | ❌ Cloud processing | ✅ Local processing | | **Developer Freedom** | ❌ Closed ecosystem | ✅ Open protocol, extensible | **Result**: IntelliGlow = Convenience of Alexa + Intelligence of AI + Freedom of Open Source! 🎉 ## 🧪 **Testing** ```bash # Test real UDP communication with your bulb python test_network_bulbs.py ``` This will: 1. 🔌 Test direct connection to 192.168.1.45:4000 2. 🔍 Scan network for other bulbs 3. 🤖 Simulate AI/MCP commands 4. 🎤 Test voice command processing ## 🐛 **Troubleshooting** ### **No Bulb Found** - Ensure your smart bulb is on the same network - Check that the bulb is listening on port 4000 - Try network discovery: `python -c "import asyncio; from mcp_server_smartbulb.bulb_discovery import BulbDiscovery; asyncio.run(BulbDiscovery().discover_bulbs())"` ### **Voice Not Working** - Install voice dependencies: `pip install -e .[voice]` - Check microphone permissions - Test with: `python -m mcp_server_smartbulb.voice_interface` ### **Connection Timeout** - Check firewall settings - Verify bulb IP address - Increase timeout in `bulb_config.json` ## 📁 **Project Structure** ``` IntelliGlow/ ├── mcp_server_smartbulb/ │ ├── __init__.py # Package initialization │ ├── network_server.py # Main UDP-enabled MCP server │ ├── udp_client.py # UDP networking client │ ├── bulb_discovery.py # Network discovery │ └── voice_interface.py # Voice command processing ├── bulb_config.json # Network configuration ├── test_network_bulbs.py # UDP testing script ├── voice_enabled_server.py # Complete IntelliGlow system ├── README.md # This file └── pyproject.toml # Project configuration ``` **Clean, focused, and intelligent! 🧠💡** ## 🎯 **What Makes IntelliGlow Special** **IntelliGlow isn't just another smart bulb controller - it's the bridge between AI intelligence and physical hardware.** ### **🔥 Key Innovations:** - **AI-Native Design**: Built for AI reasoning, not just voice commands - **Open Protocol**: Works with any AI model, not locked to one vendor - **Local Processing**: Privacy-focused, no cloud dependency required - **Hybrid Interface**: Voice + AI chat + MCP protocol - **Developer Freedom**: Full customization and extensibility ### **🌟 Real-World Magic:** ``` User: "I'm working late and need focus lighting" IntelliGlow: → AI understands context → Sets cool white light (5000K) → Optimal brightness (85%) → Direct UDP communication → Responds with confirmation ``` **This is the future of smart homes - lighting that truly understands and adapts to your needs!** 🚀 --- **Made with ❤️ for the next generation of intelligent home automation**

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/shree-bd/IntelliGlow-AI-Voice-MCP-IoT-Platform'

If you have feedback or need assistance with the MCP directory API, please join our Discord server