🚀 Fluent UI MCP Server

A comprehensive Model Context Protocol (MCP) server that provides intelligent assistance for Fluent UI React component development. This server acts as your AI-powered companion for creating, validating, and maintaining Fluent UI applications following v9 design system patterns.

What is MCP? The Model Context Protocol enables AI assistants to securely access external data sources and tools. This server extends AI capabilities with deep Fluent UI knowledge.

✨ Key Features

🧠 Intelligent Component Knowledge

• 📚 Comprehensive database of 50+ Fluent UI v9 components
• 🔍 Smart component search and discovery
• 📖 Complete props, slots, and usage documentation
• 💡 Real-world examples and best practices
• 🎯 Context-aware recommendations

🎨 Design System Mastery

• 🌈 45+ design tokens across 6 categories (colors, typography, spacing, shadows, borders, motion)
• ✅ Token validation and usage guidance
• 🎭 Semantic color system with accessibility compliance
• 📏 Consistent spacing and typography scales
• 🎬 Motion and animation guidelines

🛠️ Advanced Code Generation

• ⚡ Generate complete v9 component implementations
• 🪝 Create custom hooks following Fluent UI patterns
• 💅 Generate styles using makeStyles and design tokens
• 📝 TypeScript interfaces with full type safety
• 🏗️ Template-based scaffolding for common patterns

✅ Smart Validation & Analysis

• 🔍 Real-time component validation against design specs
• ♿ Accessibility compliance checking (WCAG 2.1)
• 📊 Pattern analysis with scoring (0-100)
• 🚨 Anti-pattern detection and warnings
• � Actionable improvement suggestions

🚀 Quick Start

Prerequisites

• Node.js 18+
• npm or yarn
• MCP-compatible client

Installation & Setup

# Clone or download the server
cd fluentui-mcp-server

# Install dependencies
npm install

# Build the server
npm run build

# Test the server
npm run test

Running the Server

# Start the MCP server
npm start

# Or run in development mode with hot reload
npm run dev

🔧 Available Tools

The server provides 12 powerful tools organized into 4 categories:

📚 Component Knowledge Tools

get_component_info

Get comprehensive information about any Fluent UI component.

{
  "name": "get_component_info",
  "arguments": {
    "componentName": "Button"
  }
}

Returns: Complete component documentation including description, props, slots, examples, and accessibility guidelines.

search_components

Find components based on functionality, category, or keywords.

{
  "name": "search_components",
  "arguments": {
    "query": "form input",
    "category": "inputs",
    "limit": 5
  }
}

get_component_props

Get detailed property information for a specific component.

{
  "name": "get_component_props",
  "arguments": {
    "componentName": "Avatar",
    "propName": "size"
  }
}

get_component_examples

Retrieve usage examples for components.

{
  "name": "get_component_examples",
  "arguments": {
    "componentName": "Card",
    "exampleType": "advanced"
  }
}

🎨 Design System Tools

get_design_tokens

Access design tokens by category with usage guidance.

{
  "name": "get_design_tokens",
  "arguments": {
    "category": "colors",
    "includeUsage": true
  }
}

Categories: colors, typography, spacing, shadows, borders, motion

validate_design_tokens

Check code for proper token usage and suggest improvements.

{
  "name": "validate_design_tokens",
  "arguments": {
    "code": "const styles = makeStyles({ color: '#0078d4' });"
  }
}

🛠️ Code Generation Tools

generate_component

Generate complete component implementations with TypeScript.

{
  "name": "generate_component",
  "arguments": {
    "componentName": "CustomCard",
    "componentType": "layout",
    "requirements": "A card component for user profiles with avatar and bio"
  }
}

Component Types: form-input, layout, feedback, navigation

generate_component_hook

Create custom hooks following Fluent UI patterns.

{
  "name": "generate_component_hook",
  "arguments": {
    "componentName": "CustomButton",
    "hookType": "state-management"
  }
}

generate_component_styles

Generate makeStyles implementations with design tokens.

{
  "name": "generate_component_styles",
  "arguments": {
    "componentName": "CustomCard",
    "slots": ["root", "header", "content", "footer"]
  }
}

✅ Validation & Analysis Tools

validate_component_design

Comprehensive design validation with scoring.

{
  "name": "validate_component_design",
  "arguments": {
    "componentCode": "const Button = () => { ... }",
    "componentName": "Button"
  }
}

Returns: Validation score (0-100), issues found, and improvement suggestions.

check_accessibility

Analyze components for accessibility compliance.

{
  "name": "check_accessibility",
  "arguments": {
    "componentCode": "const Component = () => { ... }"
  }
}

analyze_component_patterns

Detect patterns and anti-patterns in component code.

{
  "name": "analyze_component_patterns",
  "arguments": {
    "componentCode": "const Component = () => { ... }"
  }
}

📦 Component Database

The server includes comprehensive knowledge for 50+ Fluent UI v9 components across all categories:

• Button (+ variants: CompoundButton, MenuButton, SplitButton, ToggleButton)
• Checkbox, Radio, Switch - Selection controls
• Input, Textarea, SpinButton - Text input components
• Combobox, Dropdown, Select - Selection components
• Slider, Rating - Value input components
• SearchBox, TagPicker - Advanced input patterns

• Avatar, AvatarGroup - User representation
• Badge, CounterBadge, PresenceBadge - Status indicators
• Text, Label - Typography components
• Image, Skeleton - Media and loading states
• List, DataGrid, Table - Data presentation
• Tree, Accordion - Hierarchical data

• Card (+ variants: CardHeader, CardPreview, CardFooter)
• Divider, Drawer - Space division
• Dialog, Modal - Overlay components
• Field, FieldGroup - Form layout

• Breadcrumb, Link - Navigation aids
• Menu, MenuList - Action menus
• Nav, TabList - Primary navigation
• Toolbar, CommandBar - Action toolbars

• MessageBar, InfoBar - System messages
• Toast, Notification - Temporary feedback
• Popover, Tooltip - Contextual information
• TeachingPopover - Educational overlays
• ProgressBar, Spinner - Loading states

🎨 Design Token System

Access to the complete Fluent UI design token system with 45+ tokens across 6 categories:

🌈 Colors (8 tokens)

colorNeutralForeground1; // #242424 - Primary text
colorNeutralBackground1; // #ffffff - Default background
colorBrandBackground; // #0078d4 - Primary brand
colorStatusSuccessBackground1; // Success states
colorStatusErrorBackground1; // Error states
// ... and more

📝 Typography (9 tokens)

fontFamilyBase; // 'Segoe UI', system fonts
fontSizeBase100; // 10px
fontSizeBase200; // 12px
fontSizeBase300; // 14px
fontWeightRegular; // 400
fontWeightSemibold; // 600
// ... complete scale

📏 Spacing (11 tokens)

spacingHorizontalXS; // 2px
spacingHorizontalS; // 4px
spacingHorizontalM; // 8px
spacingHorizontalL; // 12px
spacingHorizontalXL; // 16px
// ... full spacing scale

🌫️ Shadows (4 tokens)

shadow2; // Subtle elevation
shadow4; // Card elevation
shadow8; // Dialog elevation
shadow16; // Maximum elevation

🔲 Borders (7 tokens)

borderRadiusNone; // 0px
borderRadiusSmall; // 2px
borderRadiusMedium; // 4px
borderRadiusLarge; // 6px
strokeWidthThin; // 1px
strokeWidthThick; // 2px

🎬 Motion (6 tokens)

durationUltraFast; // 50ms
durationFaster; // 100ms
durationFast; // 150ms
durationNormal; // 200ms
curveAccelerateMax; // Easing curves
curveDecelerateMax;

💡 Usage Examples

Example 1: Getting Component Information

echo '{"jsonrpc": "2.0", "id": 1, "method": "tools/call", "params": {"name": "get_component_info", "arguments": {"componentName": "Button"}}}' | node dist/server.js

Example 2: Generating a Custom Component

echo '{"jsonrpc": "2.0", "id": 1, "method": "tools/call", "params": {"name": "generate_component", "arguments": {"componentName": "UserCard", "componentType": "layout", "requirements": "A card showing user avatar, name, and role"}}}' | node dist/server.js

Example 3: Validating Component Design

echo '{"jsonrpc": "2.0", "id": 1, "method": "tools/call", "params": {"name": "validate_component_design", "arguments": {"componentCode": "const Button = () => <button>Click</button>", "componentName": "Button"}}}' | node dist/server.js

🏗️ Architecture

Server Structure

src/
├── server.ts              # Main MCP server implementation
├── types.ts              # TypeScript interfaces
└── tools/
    ├── component-tools.ts    # Component knowledge & search
    ├── design-tools.ts       # Design tokens & validation
    ├── generation-tools.ts   # Code generation templates
    └── validation-tools.ts   # Design & accessibility validation
data/
├── components.json       # Component database
└── patterns.json        # Design patterns & templates

Key Technologies

• MCP SDK: Model Context Protocol implementation
• TypeScript: Full type safety and IntelliSense
• Node.js: Runtime environment
• JSON-RPC 2.0: Communication protocol

🔧 Development

Development Workflow

# Install dependencies
npm install

# Development mode with hot reload
npm run dev

# Build for production
npm run build

# Run tests
npm test

# Lint code
npm run lint

# Type checking
npm run type-check

Project Scripts

• npm start - Start the MCP server
• npm run dev - Development mode with tsx
• npm run build - TypeScript compilation
• npm test - Test server functionality
• npm run lint - ESLint code checking

Testing the Server

# Test that server starts and lists tools
npm run test

# Manual testing with curl/echo
echo '{"jsonrpc": "2.0", "id": 1, "method": "tools/list", "params": {}}' | node dist/server.js

🤝 Integration

MCP Client Integration

This server is compatible with any MCP client. Here's how to integrate:

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "fluentui": {
      "command": "node",
      "args": ["/path/to/fluentui-mcp-server/dist/server.js"]
    }
  }
}

Custom MCP Client

import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StdioClientTransport } from "@modelcontextprotocol/sdk/client/stdio.js";

const client = new Client(
  {
    name: "my-app",
    version: "1.0.0",
  },
  {
    capabilities: {},
  }
);

const transport = new StdioClientTransport({
  command: "node",
  args: ["./dist/server.js"],
});

await client.connect(transport);

📋 Validation Rules

The server implements comprehensive validation rules:

Design Validation

• ✅ Proper use of design tokens
• ✅ Consistent spacing and typography
• ✅ Color contrast compliance
• ✅ Component composition patterns

Accessibility Validation

• ✅ ARIA attributes and roles
• ✅ Keyboard navigation support
• ✅ Focus management
• ✅ Screen reader compatibility
• ✅ Color contrast ratios (WCAG 2.1)

Code Quality Validation

• ✅ TypeScript type safety
• ✅ Fluent UI v9 patterns
• ✅ Performance best practices
• ✅ Component composition

🚀 Contributing

We welcome contributions! Here's how to get started:

1. Fork & Clone

git clone https://github.com/yourusername/fluentui-mcp-server.git
cd fluentui-mcp-server

2. Create Feature Branch

git checkout -b feature/new-component-support

3. Make Changes

• Add new components to data/components.json
• Implement new tools in src/tools/
• Add tests for new functionality
• Update documentation

4. Test Changes

npm run build
npm test
npm run lint

5. Submit Pull Request

• Ensure all tests pass
• Add documentation for new features
• Follow existing code style

Areas for Contribution

• 🆕 New Components: Add more Fluent UI components
• 🛠️ Enhanced Tools: Improve existing tool capabilities
• 📊 Better Validation: Add more validation rules
• 🎨 Design Patterns: Expand pattern library
• 📖 Documentation: Improve guides and examples

📄 License

MIT License - see LICENSE file for details.

🔗 Related Resources

• 📚 Fluent UI React Components - Official documentation
• 🎨 Design Tokens - Token system guide
• 🏗️ Component Implementation Guide - Development patterns
• 🔄 Migration Guide - v8 to v9 migration
• 🔌 Model Context Protocol - MCP specification
• 🤖 Claude Desktop - MCP-compatible AI assistant

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Built with ❤️ for the Fluent UI community

Made with Model Context Protocol • Fluent UI v9 • TypeScript