mcp-ui-expo-tamagui
Generates React Native/Expo UI components using AI, integrates with Claude Desktop to create and optimize Tamagui-based components via natural language commands.
README
🎨 MCP UI Expo Tamagui Server
AI-Powered UI Component Generator for Expo + Tamagui with Claude Desktop Integration
🚀 Automatically generate React Native/Expo components using AI Gemini through Model Context Protocol (MCP)
✨ Features
- 🤖 AI Component Generation: Create components with natural language descriptions
- 📚 Real-time Docs Search: Search Expo & Tamagui documentation
- ⚡ Code Optimization: Optimize components for performance
- 🎨 Theme Configuration: Generate theme configs automatically
- 💡 Smart Suggestions: Intelligent component recommendations
- 🐳 Docker Ready: Production-ready containerization
- 🔧 TypeScript Support: Full type safety
🚀 Quick Start
1. Installation & Build
git clone https://github.com/yourusername/mcp-ui-expo-tamagui.git
cd mcp-ui-expo-tamagui
npm install
npm run build
2. Configure API Key
export GEMINI_API_KEY=your-gemini-api-key
3. Test MCP Server
./test-mcp-tools.sh
🔌 Claude Desktop Integration
Add to your claude_desktop_config.json:
{
"mcpServers": {
"mcp-ui-expo-tamagui": {
"command": "node",
"args": ["/path/to/mcp-ui-expo-tamagui/build/index.js"],
"env": {
"GEMINI_API_KEY": "your-gemini-api-key"
}
}
}
}
Usage with Claude
💬 "Create a Button component with title, onPress, and variant props"
💬 "How to implement navigation in Expo?"
💬 "Suggest components for an e-commerce screen"
💬 "Optimize this component for performance"
💬 "Create dark theme with purple primary color"
🛠️ MCP Tools
| Tool | Description | Parameters |
|---|---|---|
generate_ui_component |
Generate UI component with AI | name, description, props, styling, platform |
search_expo_docs |
Search Expo documentation | query |
search_tamagui_docs |
Search Tamagui documentation | query |
get_component_suggestions |
Get component suggestions | context, requirements |
optimize_component |
Optimize component code | code, optimizationType |
create_theme_config |
Create theme configuration | colorScheme, primaryColors, components |
🐳 Docker Deployment
Build & Run
# Build Docker image
docker build -t mcp-ui-expo-tamagui .
# Run with Docker Compose
docker-compose up
# Run standalone
docker run -e GEMINI_API_KEY=your-key mcp-ui-expo-tamagui
🧪 Testing
# Test MCP tools
./test-mcp-tools.sh
# Test Docker
./test-docker.sh
# TypeScript validation
npm run lint
# Jest tests
npm test
📁 Project Structure
mcp-ui-expo-tamagui/
├── src/
│ ├── index.ts # Main MCP server
│ ├── types/interfaces.ts # Type definitions
│ ├── services/ # Core services
│ └── utils/ # Utilities
├── build/ # Compiled output
├── Dockerfile # Docker configuration
├── docker-compose.yml # Docker Compose
└── README.md # Documentation
🎯 Example Use Cases
E-commerce Product Card
{
name: "ProductCard",
description: "Product card with image, title, price, rating, add to cart",
props: [
{ name: "product", type: "Product", required: true },
{ name: "onAddToCart", type: "function", required: true }
]
}
Social Media Post
{
name: "PostCard",
description: "Post card with avatar, content, reactions",
styling: { theme: "dark", responsive: true }
}
🔧 Development
npm run dev # Development mode
npm run build # Build production
npm run test # Run tests
npm run lint # TypeScript check
🚨 Environment Variables
GEMINI_API_KEY- Google Gemini AI API key (required)NODE_ENV- Environment (optional)LOG_LEVEL- Logging level (optional)
📄 License
MIT License - see LICENSE file for details.
🎉 Ready to Go!
Start creating amazing UI components with AI! 🚀✨
Happy Coding!
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