Figma MCP PRO

# Custom Figma MCP Server Architecture ## Overview This custom Figma MCP (Model Context Protocol) server is designed to provide AI-optimized access to Figma design data. Unlike standard Figma API wrappers, this server enhances raw Figma data with intelligent context processing, semantic analysis, and framework-specific optimizations to help AI coding agents generate better code from design files. ## Architecture Principles ### 1. **AI-First Design** - All data transformations are optimized for AI consumption - Semantic analysis to understand UI patterns and components - Context reduction to focus on relevant information - Framework-specific optimizations for better code generation ### 2. **Extensible Rules Engine** - Configurable rules for context enhancement - Custom rule definitions for specific use cases - Priority-based rule application - Environment-specific rule overrides ### 3. **Performance Optimization** - Intelligent caching with LRU eviction - Rate limiting with burst handling - Request deduplication - Lazy loading and depth limiting ### 4. **Framework Agnostic** - Support for React, Vue, Angular, Svelte, and HTML - Framework-specific code generation hints - Tailored CSS and component structure ## Core Components ### 1. **FigmaApiService** (`src/services/figma-api.ts`) **Purpose**: Handles all interactions with the Figma REST API **Key Features**: - Robust error handling and retry logic - Request caching with configurable TTL - Rate limiting to respect API limits - URL parsing utilities for file keys and node IDs - Image export functionality **API Methods**: - `getFile(fileKey, options)` - Fetch complete file data - `getFileNodes(fileKey, nodeIds, options)` - Fetch specific nodes - `getImages(fileKey, nodeIds, options)` - Export node images - `getProjectFiles(projectId)` - List project files ### 2. **ContextProcessor** (`src/processors/context-processor.ts`) **Purpose**: Transforms raw Figma data into AI-optimized context **Key Features**: - Semantic analysis of UI components - CSS property generation from Figma properties - Accessibility information enhancement - Design token extraction - Component variant detection - Interaction state generation **Processing Pipeline**: 1. **Node Filtering** - Apply inclusion/exclusion rules 2. **Semantic Analysis** - Detect component types and purposes 3. **CSS Generation** - Convert Figma properties to CSS 4. **Accessibility Enhancement** - Add ARIA labels and roles 5. **Design Token Extraction** - Extract reusable design values 6. **Custom Rule Application** - Apply user-defined rules 7. **Context Reduction** - Remove redundant information ### 3. **Rules Engine** (`src/config/rules.ts`) **Purpose**: Configurable system for customizing data processing **Rule Types**: - **Node Type Filters** - Include/exclude specific node types - **AI Optimizations** - Enable/disable specific enhancements - **Content Enhancement** - Control what additional data to extract - **Context Reduction** - Manage output size and complexity - **Framework Optimizations** - Framework-specific settings - **Custom Rules** - User-defined processing rules **Custom Rule Structure**: ```typescript interface CustomRule { name: string; description: string; condition: RuleCondition; action: RuleAction; priority: number; enabled: boolean; } ``` ### 4. **Type System** (`src/types/figma.ts`) **Purpose**: Comprehensive TypeScript definitions for Figma API and enhanced data **Key Types**: - **FigmaNode** - Complete Figma node structure - **EnhancedFigmaNode** - AI-optimized node with additional context - **CSSProperties** - Generated CSS properties - **SemanticRole** - Detected component semantics - **DesignToken** - Extracted design system values - **AccessibilityInfo** - Accessibility enhancements ## Data Flow ``` Figma API → Raw Data → Context Processor → Enhanced Data → MCP Client ↓ ↓ ↓ ↓ ↓ Cache Apply Rules Generate CSS Add Metadata AI Agent ``` ### 1. **Data Ingestion** - Fetch data from Figma API - Cache responses for performance - Handle rate limiting and errors ### 2. **Context Processing** - Apply node type filters - Perform semantic analysis - Generate CSS properties - Extract design tokens - Add accessibility information ### 3. **Rule Application** - Evaluate custom rule conditions - Apply rule actions in priority order - Track rule application statistics ### 4. **Output Generation** - Reduce context size - Format for target framework - Include metadata and statistics ## Enhanced Features ### 1. **Semantic Analysis** Automatically detects and categorizes UI elements: - **Buttons**: Interactive elements with click handlers - **Inputs**: Form fields and text inputs - **Navigation**: Menus, headers, and navigation components - **Text Hierarchy**: Headings (h1-h6) and body text - **Containers**: Layout and grouping elements - **Images**: Visual content and icons ### 2. **CSS Generation** Converts Figma properties to standard CSS: - **Layout**: Width, height, position, display - **Flexbox/Grid**: Auto-layout properties - **Colors**: Background, text, and border colors - **Typography**: Font family, size, weight, line height - **Effects**: Shadows, blur, and opacity - **Borders**: Radius, width, and style ### 3. **Design Token Extraction** Automatically extracts reusable design values: - **Colors**: Brand colors, semantic colors - **Typography**: Font scales, line heights - **Spacing**: Margins, padding, gaps - **Shadows**: Drop shadows, inner shadows - **Borders**: Radius values, border styles ### 4. **Accessibility Enhancement** Generates accessibility information: - **ARIA Labels**: Descriptive labels for screen readers - **ARIA Roles**: Semantic roles for components - **Tab Index**: Focus management - **Alt Text**: Image descriptions - **Semantic HTML**: Proper HTML structure ### 5. **Framework Optimization** Tailored output for different frameworks: #### React - JSX component structure - TypeScript prop types - Styled Components or Tailwind CSS - React Hooks for state management - Component composition patterns #### Vue - Single File Component (SFC) structure - Composition API usage - Scoped styles - Reactive data properties - Template syntax #### Angular - Component class structure - Template and style separation - Dependency injection - Angular Signals - Standalone components #### Svelte - Svelte component syntax - Reactive statements - Store integration - Scoped styles - Component props #### HTML - Semantic HTML structure - Modern CSS features - Accessibility markup - Progressive enhancement - CSS Grid and Flexbox ## Performance Considerations ### 1. **Caching Strategy** - **LRU Cache**: Least Recently Used eviction - **TTL**: Time-to-live for cache entries - **Size Limits**: Maximum cache size - **Cache Keys**: Request-specific cache keys ### 2. **Rate Limiting** - **Burst Handling**: Allow short bursts of requests - **Throttling**: Limit sustained request rate - **Backoff**: Exponential backoff on rate limit hits - **Queue Management**: Request queuing and prioritization ### 3. **Memory Management** - **Streaming**: Process large files in chunks - **Lazy Loading**: Load data on demand - **Garbage Collection**: Proper cleanup of resources - **Memory Monitoring**: Track memory usage ### 4. **Request Optimization** - **Batching**: Combine multiple requests - **Deduplication**: Avoid duplicate requests - **Compression**: Compress large responses - **Parallel Processing**: Process multiple nodes concurrently ## Configuration ### Environment Variables ```bash # API Configuration FIGMA_API_KEY=your_api_key CACHE_TTL=300000 CACHE_MAX_SIZE=1000 # Processing Configuration MAX_CONTEXT_DEPTH=5 ENABLE_ENHANCED_CONTEXT=true OPTIMIZE_FOR_CODE_GENERATION=true # Framework Defaults DEFAULT_FRAMEWORK=react INCLUDE_CSS_PROPERTIES=true INCLUDE_DESIGN_TOKENS=true ``` ### Custom Rules Example ```typescript const buttonEnhancementRule: CustomRule = { name: 'Button Enhancement', description: 'Enhance button components with interaction states', condition: { nodeType: ['COMPONENT', 'INSTANCE'], nodeName: /button|btn/i, hasChildren: true }, action: { type: 'enhance', parameters: { semanticRole: { type: 'button' }, accessibilityInfo: { ariaRole: 'button', focusable: true }, interactionStates: [ { trigger: 'hover', changes: { opacity: '0.8' }, animation: { duration: '0.2s', easing: 'ease-in-out' } } ] } }, priority: 10, enabled: true }; ``` ## Extension Points ### 1. **Custom Processors** Add new processing steps to the pipeline: ```typescript interface CustomProcessor { name: string; process(node: EnhancedFigmaNode, context: ProcessingContext): Promise<EnhancedFigmaNode>; } ``` ### 2. **Framework Adapters** Add support for new frameworks: ```typescript interface FrameworkAdapter { name: string; generateCode(node: EnhancedFigmaNode): string; generateStyles(node: EnhancedFigmaNode): string; } ``` ### 3. **Output Formatters** Customize output format: ```typescript interface OutputFormatter { name: string; format(data: EnhancedFigmaNode, metadata: ProcessingMetadata): string; } ``` ## Security Considerations ### 1. **API Key Management** - Environment variable storage - No hardcoded credentials - Secure transmission - Key rotation support ### 2. **Input Validation** - Schema validation with Zod - URL sanitization - Parameter bounds checking - Type safety ### 3. **Error Handling** - Graceful degradation - Error logging - No sensitive data in errors - Rate limit respect ### 4. **Resource Limits** - Memory usage limits - Processing time limits - Cache size limits - Request size limits ## Monitoring and Observability ### 1. **Metrics** - Request count and latency - Cache hit/miss rates - Processing time per node - Error rates and types ### 2. **Logging** - Structured logging - Request tracing - Error details - Performance metrics ### 3. **Health Checks** - API connectivity - Cache status - Memory usage - Processing queue ## Future Enhancements ### 1. **Advanced AI Features** - Machine learning for component detection - Automated design system analysis - Code quality scoring - Performance optimization suggestions ### 2. **Real-time Updates** - Figma webhook integration - Live design synchronization - Incremental updates - Change notifications ### 3. **Collaboration Features** - Multi-user support - Design review integration - Comment synchronization - Version control ### 4. **Advanced Caching** - Distributed caching - Cache warming - Intelligent prefetching - Cache analytics This architecture provides a solid foundation for building AI-optimized Figma integrations while maintaining flexibility for future enhancements and customizations.