fluentui-mcp-server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@fluentui-mcp-serverWhat are the props for the Avatar component?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
🚀 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
makeStylesand 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
Related MCP server: MCP Server Starter Template
🚀 Quick Start
npx fluentui-mcp-serverPrerequisites
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 testRunning the Server
# Start the MCP server
npm start
# Or run in development mode with hot reload
npm run devThe published CLI executable points directly to dist/server.js.
🔧 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.jsExample 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.jsExample 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 & templatesKey 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-checkProject Scripts
npm start- Start the MCP servernpm run dev- Development mode with tsxnpm run build- TypeScript compilationnpm test- Test server functionalitynpm 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": "npx",
"args": ["-y", "fluentui-mcp-server"]
}
}
}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: "npx",
args: ["-y", "fluentui-mcp-server"],
});
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-server2. Create Feature Branch
git checkout -b feature/new-component-support3. Make Changes
Add new components to
data/components.jsonImplement new tools in
src/tools/Add tests for new functionality
Update documentation
4. Test Changes
npm run build
npm test
npm run lint5. 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
Built with ❤️ for the Fluent UI community
Made with Model Context Protocol • Fluent UI v9 • TypeScript
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