Rakit UI AI - MCP Design Selection Tool

An intelligent UI component design selection tool built on the Model Context Protocol (MCP). This tool allows AI assistants to present multiple UI component designs in a browser interface for user selection. NEW: Now includes AI-powered design generation using MiniMax-M2.1 API!

Quick Start

Install Rakit UI AI globally and start using it immediately:

# Install globally
npm install -g rakitui-ai

# Set your MiniMax API key (required for AI design generation)
export MINIMAX_API_KEY="your-api-key-here"

# Run the MCP server
rakitui-ai

The tool will start an MCP server that you can connect to from your AI assistant (like Claude Desktop, Cursor IDE, etc.).

AI-Powered Design Generation

NEW FEATURE: Rakit UI AI now includes AI-powered design generation using MiniMax-M2.1! Simply describe what you need in natural language, and the tool will generate 3 distinct, production-ready designs for you to choose from.

Setup

1. Get your MiniMax API key from platform.minimax.io

2. Set the environment variable:

   export MINIMAX_API_KEY="your-api-key-here"
   

3. That's it! The tool will automatically use the MiniMax API when you provide a prompt.

Usage with AI Generation

// Just describe what you need - the tool generates designs for you!
const result = await tool.execute({
  prompt: "Create 3 modern button designs for a SaaS dashboard",
  style_preference: "clean and professional",
  framework: "tailwind"
});

// Get your selection
console.log(result.selectedDesign); // "Modern Gradient Button"
console.log(result.selectedDesignHtml); // Complete HTML code

The tool will:

1. Call MiniMax-M2.1 with your prompt
2. Generate 3 distinct design variations
3. Open them in your browser for selection
4. Return your chosen design with full HTML code

Using in IDEs

Cursor IDE Setup

Option 1: Settings UI (Recommended)

1. Open Cursor Settings:

   • Press Cmd+, (Mac) or Ctrl+, (Windows/Linux)
   • Or click the settings icon in the bottom-left corner

2. Navigate to MCP Settings:

   • In the left sidebar, click on "MCP" (or search for "MCP" in the search bar)

3. Add Rakit UI AI:

   • Click the "Add New MCP Server" button
   • Enter the following:
     • Server Name: rakitui-ai
     • Command: rakitui-ai
     • Environment Variables (optional): Add MINIMAX_API_KEY if you want AI-powered generation

4. Restart Cursor:

   • Close and reopen Cursor, or click the "Restart MCP Servers" button if available

5. Start Using:

   • The tool will be available as mcp_rakit-ui-ai_designselection
   • Ask Claude: "Show me 3 different button designs"
   • Or: "Create a card component for a user profile"

Option 2: JSON Configuration File

1. Open Cursor Settings:

   • Press Cmd+, (Mac) or Ctrl+, (Windows/Linux)
   • Click the settings icon and select "Open Settings (JSON)" (or search for "MCP" and click "Edit in JSON")

2. Add the MCP Server: Add this to your settings.json file:

   {
     "mcpServers": {
       "rakitui-ai": {
         "command": "rakitui-ai"
       }
     }
   }
   

   With MiniMax API Key (optional - for AI generation):

   {
     "mcpServers": {
       "rakitui-ai": {
         "command": "rakitui-ai",
         "env": {
           "MINIMAX_API_KEY": "your-api-key-here"
         }
       }
     }
   }
   

3. Save and Restart:

   • Save the file (Cmd+S or Ctrl+S)
   • Restart Cursor

How to Use in Cursor

Once configured, you can use the tool in the Cursor chat:

Example 1 - AI Generation (with MiniMax API):

User: Create 3 button designs for my SaaS dashboard

Claude: I'll generate some button designs for you using the Rakit UI AI tool.

[Claude calls mcp_rakit-ui-ai_designselection with prompt]
[Browser opens with 3 design options]
[User clicks to select]

Claude: You selected the "Modern Gradient Button"! Here's the HTML code:
<button class="bg-gradient-to-r from-blue-500 to-blue-600 ...">Click me</button>

Example 2 - Manual Input:

User: Show me 3 card designs

Claude: Let me create 3 card design options for you.

[Claude calls mcp_rakit-ui-ai_designselection with HTML designs]
[Browser opens with 3 design options]
[User clicks to select]

Claude: You selected the "Featured Card"! Here's the code:
<div class="card featured">...</div>

Available Commands:

• Keyboard shortcuts: Press 1, 2, or 3 to select a design
• Zoom: Click on any design to see it larger
• Copy code: Click the copy button to copy the HTML

Troubleshooting Cursor Setup

Problem: "Command not found" or "rakitui-ai not found"

Solution:

• If installed globally, make sure npm global bin is in your PATH
• Or use the full path: /usr/local/bin/rakitui-ai (Mac) or C:\Users\[you]\AppData\Roaming\npm\rakitui-ai.cmd (Windows)
• For local development, use the full path to your project: /path/to/rakitui-ai/dist/index.js

Problem: Tool not appearing in chat

Solution:

• Restart Cursor completely
• Check that the MCP server is running (look for green indicator in MCP settings)
• Try removing and re-adding the server

Problem: MiniMax API not working

Solution:

• Verify your API key is correct
• Ensure MINIMAX_API_KEY environment variable is set
• Check your MiniMax account has credits available

Claude Desktop Setup

1. Add to MCP Configuration: Edit your Claude Desktop config file (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

   {
     "mcpServers": {
       "rakitui-ai": {
         "command": "rakitui-ai"
       }
     }
   }
   

2. Restart Claude Desktop and start using the design selection tool

Other IDEs

For any IDE that supports MCP:

• Use command: rakitui-ai
• The tool will be available as mcp_rakit-ui-ai_designselection

Installation Options

Option 1: Global Installation (Recommended)

npm install -g rakitui-ai
rakitui-ai

Option 2: Local Development

# Clone the repository
git clone [repository-url]
cd rakitui-ai

# Install dependencies
npm install --legacy-peer-deps

# Build the project
npm run build

# Start the server
npm start

Features

Core Functionality

• Visual Design Comparison: Display three UI component designs side-by-side in a modern, responsive interface
• Real-time Selection: WebSocket support for instant feedback when a design is selected
• Enhanced Response Data: Returns not just the selection, but also the HTML code and metadata
• AI-Powered Generation (NEW): Generate designs from natural language prompts using MiniMax-M2.1

User Experience Improvements

• Keyboard Shortcuts: Press 1, 2, or 3 for quick selection
• Click to Zoom: Click on any design to see it in a larger view
• Code Preview: Toggle between visual and code view for each design
• Copy to Clipboard: One-click copy of design HTML code
• Mobile Responsive: Works seamlessly on all device sizes
• Smooth Animations: Polished UI with fade-ins, slides, and transitions

Technical Features

• WebSocket Communication: Real-time bidirectional communication replaces polling
• Security: Basic XSS prevention and input validation
• Connection Status: Visual indicator showing WebSocket connection state
• Local Storage: Remembers last selection for reference
• Error Handling: Graceful error recovery with user feedback
• MiniMax API Integration: AI-powered design generation with token usage tracking

Supported CSS Frameworks

• Tailwind CSS
• Bootstrap
• Bulma
• Foundation
• Semantic UI
• Plain CSS / Inline styles

Supported Component Types

• Buttons (primary, secondary, outlined, with icons)
• Cards (content, featured, compact)
• Form Inputs (underlined, bordered, filled)
• Navigation Bars (standard, centered, full-featured)
• Modal Dialogs (standard, confirmation, form)
• Data Tables (simple, striped, data-dense)

Usage

Two Ways to Use Rakit UI AI

Option 1: AI-Powered Generation (NEW!)

Describe what you need, and MiniMax-M2.1 will generate 3 distinct designs:

// Simple example
const result = await tool.execute({
  prompt: "Create 3 modern button designs for a SaaS dashboard"
});

// Detailed example with all options
const result = await tool.execute({
  prompt: "Design a product card for an e-commerce site with image, title, price, and Add to Cart button",
  style_preference: "modern and sleek",
  framework: "bootstrap",
  component_type: "card"
});

console.log(result.selectedDesign); // Selected design name
console.log(result.selectedDesignHtml); // Complete HTML code
console.log(result.generation); // Generation metadata including model, tokens used, etc.

Example Prompts:

• "Create 3 button designs for a SaaS dashboard"
• "Design a login form with email and password fields"
• "Show me 3 navigation bar styles for an e-commerce site"
• "Create a pricing card with monthly and yearly options"
• "Design a modal dialog for user confirmation"

Option 2: Manual Design Input

Provide your own pre-generated designs:

const result = await tool.execute({
  design_name_1: "Tailwind Button",
  design_html_1: `<button class="bg-blue-500 text-white px-4 py-2 rounded hover:bg-blue-600 transition">Click me</button>`,
  
  design_name_2: "Bootstrap Button", 
  design_html_2: `<button class="btn btn-primary">Click me</button>`,
  
  design_name_3: "Minimal Button",
  design_html_3: `<button class="px-4 py-2 border border-gray-300 rounded hover:bg-gray-50">Click me</button>`
});

console.log(result.selectedDesign); // "Bootstrap Button"
console.log(result.selectedDesignHtml); // The HTML code

That's it! The tool automatically:

• Detects CSS frameworks (Tailwind, Bootstrap, etc.)
• Adapts layout based on component complexity
• Provides click-to-zoom and keyboard shortcuts
• Shows beautiful, isolated previews
• Returns the selected design with full details
• Generates designs from prompts using AI (when prompt is provided)

How to Use in Practice

Once configured in your IDE, simply ask your AI assistant to create design options:

Example prompts:

• "Show me 3 different card designs for a user profile"
• "Create 3 navigation bar options with different styles"
• "Give me 3 button variants: primary, secondary, and outlined"
• "Show me 3 different pricing table designs"

What happens:

1. If you provide a prompt, the AI generates 3 different designs
2. If you provide designs directly, those are used
3. Tool opens in your browser automatically
4. You see all designs side-by-side
5. Click your favorite (or press 1, 2, 3)
6. AI gets your choice and can continue with that design

Features at a Glance

Feature	Description
🎯 Smart Layout	Gallery view for complex components, card view for simple ones
🛡️ CSS Isolation	No style conflicts between different frameworks
📱 Mobile Ready	Touch-friendly interface with responsive design
⌨️ Keyboard Shortcuts	Press 1, 2, or 3 for instant selection
🔍 Zoom View	Click any design to see it larger
📋 Copy Code	One-click copy of selected HTML

Manual MCP Server Mode

If you prefer to run the server manually (for development or custom setups):

1. Start the MCP server:

   npx rakitui-ai
   # OR after global install:
   rakitui-ai
   

2. Configure your MCP client to connect via stdio

3. Use the tool: The AI can now present UI design options and receive your selections

💡 Tip: For most users, the IDE configuration above is much easier than manual server mode.

Testing

Run the test script to see the tool in action:

npm test

This will:

• Start the MCP server
• Send a test request with three card designs
• Open a browser window for selection
• Display the enhanced response with selected design details

API

Tool Name: designselection

Input Parameters

AI-Powered Generation (Prompt-Based)

Parameter	Type	Description
prompt	string	Natural language description of the UI component to generate (e.g., "Create 3 modern button designs for a SaaS dashboard")
style_preference	string (optional)	Style guidance (e.g., "modern and clean", "playful", "minimalist")
framework	string (optional)	Target CSS framework (tailwind, bootstrap, bulma, foundation, semantic ui, css). Defaults to "tailwind"
component_type	string (optional)	Component type hint (button, card, form, navigation, modal, table)

Manual Input (Legacy)

Parameter	Type	Description
design_name_1	string	Name of the first design
design_html_1	string	HTML content of the first design
design_name_2	string	Name of the second design
design_html_2	string	HTML content of the second design
design_name_3	string	Name of the third design
design_html_3	string	HTML content of the third design

Response

{
  "success": true,
  "message": "Great choice! You selected: [Design Name]",
  "url": "http://localhost:3000/design-selection",
  "design_options": [
    { "name": "Design 1", "description": "Option 1", "selected": true, "preview": "..." },
    { "name": "Design 2", "description": "Option 2", "selected": false, "preview": "..." },
    { "name": "Design 3", "description": "Option 3", "selected": false, "preview": "..." }
  ],
  "selectedDesign": "Design Name",
  "selectedDesignHtml": "<div>...</div>",
  "selectionTimestamp": "2024-01-15T10:30:00.000Z",
  "selectionDuration": 5234,
  "generation": {
    "model": "MiniMax-M2.1",
    "prompt_used": "Create 3 button designs...",
    "framework": "tailwind",
    "tokens_used": 1234,
    "generation_time_ms": 5234
  },
  "next_steps": [
    "Copy the selected HTML code from the 'selectedDesignHtml' field",
    "Integrate the design into your project",
    "Run the tool again to compare more design variations"
  ]
}

MiniMax API Integration

To use the AI-powered design generation:

1. Get an API Key: Visit MiniMax Developer Platform to create an account and get your API key

2. Set Environment Variable:

   export MINIMAX_API_KEY="your-api-key-here"
   

3. Usage: Simply provide a prompt parameter instead of manual design HTML

Note: The API key is stored securely in your environment variable and is never logged or exposed.

Architecture

rakitui-ai/
├── src/
│   ├── index.ts                    # MCP server entry point
│   ├── tools/
│   │   ├── DesignselectionTool.ts  # Main tool implementation (supports both workflows)
│   │   ├── templates/
│   │   │   └── designSelection.ts  # HTML template generator for browser UI
│   │   ├── utils/
│   │   │   ├── serverUtils.ts      # Server and WebSocket utilities
│   │   │   └── minimaxClient.ts    # MiniMax API client for AI design generation
│   │   └── prompts/
│   │       └── designPrompts.ts    # Prompt engineering templates for AI generation
├── dist/                           # Compiled JavaScript
├── tmp/                            # Temporary files and logs
└── .cursorrules/                   # Development guidelines

New AI Integration Layer

The MiniMax API integration adds two new modules:

1. minimaxClient.ts: Handles communication with MiniMax API

   • API endpoint: https://api.minimax.io/v1
   • Authentication via MINIMAX_API_KEY environment variable
   • Error handling and retry logic
   • Response parsing for design JSON

2. designPrompts.ts: Contains optimized prompts for different component types

   • System prompt establishing UI/UX expertise
   • Component-specific prompt templates (buttons, cards, forms, etc.)
   • Framework-specific guidelines (Tailwind, Bootstrap, etc.)
   • Design quality checklist for AI instructions

Development

Building

# Build once
npm run build

# Watch mode for development
npm run watch

Debugging

• Check tmp/debug.log for server-side logs
• Check tmp/selection.log for selection history
• Browser console shows client-side WebSocket activity
• MiniMax API calls are logged with timing and token usage

Testing MiniMax Integration

# Set your API key first
export MINIMAX_API_KEY="your-api-key-here"

# Run the MiniMax integration test
npm run test:minimax

# Or test manually
node test-minimax-integration.js

Adding New Features

1. Update the HTML template in src/tools/templates/designSelection.ts
2. Add server-side logic in src/tools/utils/serverUtils.ts
3. Enhance the response format in src/tools/DesignselectionTool.ts
4. Add new prompt templates in src/tools/prompts/designPrompts.ts
5. Build and test your changes

Security Considerations

• Input validation prevents XSS attacks
• Design names are sanitized before display
• Script tags and JavaScript URLs are blocked
• WebSocket messages are validated

Browser Compatibility

• Chrome/Edge: Full support
• Firefox: Full support
• Safari: Full support
• Mobile browsers: Full support with touch gestures

License

MIT License - see LICENSE file for details.

Contributing

Contributions are welcome! Please read the development guidelines in .cursorrules/development-guide.mdc before submitting PRs.

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👨‍💻 Hire Me

I'm open to work and available for new opportunities!

Hi! I'm the creator of this MCP Design Selection Tool. I specialize in building innovative developer tools, AI integrations, and modern web applications. If you're looking for someone who can:

• 🤖 Build AI-powered tools and MCP servers
• ⚡ Create modern, responsive web applications
• 🛠️ Develop developer experience tools
• 🎨 Design intuitive user interfaces
• 📱 Build cross-platform solutions

I'd love to hear about your project!

📧 Contact Information

• Email: arissetia.m@gmail.com
• Portfolio: madebyaris.com
• Status: 🟢 Available for hire

💼 What I Can Help With

• Custom MCP server development
• AI tool integration and automation
• Modern web application development
• Developer experience improvements
• Technical consulting and architecture

Feel free to reach out – I'm always excited to work on interesting projects!

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