android-mcp

# Feature: Figma MCP Integration - v1.0 ## 📋 Feature Overview The Figma MCP Integration feature provides a Model Context Protocol (MCP) server that enables AI assistants to seamlessly access and analyze Figma design files. This feature bridges the gap between design tools and AI-powered development workflows, allowing for automated design analysis, content extraction, and workflow automation within the SDLC Agent platform. ## 🚀 Implementation Status ### Current Version: v1.0 - **Status**: ✅ COMPLETE - Production Ready - **Started**: 2025-01-15 - **Completed**: 2025-01-22 ### Phase Progress #### ✅ Phase 1: Core MCP Implementation (6/6 Complete) - ✅ **MCP Protocol Implementation**: Full Model Context Protocol server compliance - ✅ **Figma API Integration**: Comprehensive Figma REST API integration - ✅ **Design Data Extraction System**: Modular extractor architecture for design data - ✅ **Image Processing Pipeline**: Download and process images from Figma designs - ✅ **Dual Operation Modes**: MCP server (stdio) and standalone HTTP server modes - ✅ **Configuration Management**: Environment-based configuration system #### ✅ Phase 2: Advanced Features (4/4 Complete) - ✅ **Flexible Extractor System**: Modular architecture for different data extraction types - ✅ **Multiple Output Formats**: Support for both JSON and YAML output formats - ✅ **Error Handling & Retry Logic**: Robust error handling with retry mechanisms - ✅ **Performance Optimization**: Efficient data processing and caching #### ✅ Phase 3: Documentation & Testing (3/3 Complete) - ✅ **Comprehensive Documentation**: Complete setup and usage documentation - ✅ **Testing Suite**: Integration and benchmark tests - ✅ **Development Tools**: CLI tools and debugging capabilities ## 🏗️ Technical Specifications ### Architecture Overview ``` ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │ MCP Client │ │ Figma MCP │ │ Figma API │ │ (AI Tools) │◄──►│ Server │◄──►│ (REST API) │ │ │ │ │ │ │ └─────────────────┘ └─────────────────┘ └─────────────────┘ │ ▼ ┌─────────────────┐ │ Data Extractors │ │ • Layout │ │ • Content │ │ • Visuals │ │ • Components │ └─────────────────┘ ``` ### Core Components #### MCP Server Implementation - **Protocol Compliance**: Full MCP specification adherence - **Transport**: stdio and HTTP transport support - **Tools**: `get_figma_data` and `download_figma_images` - **Resources**: Design file access and metadata #### Figma API Integration - **Authentication**: Personal access token support - **File Access**: Complete file and node data retrieval - **Image Export**: Multiple format support (PNG, JPG, SVG, PDF) - **Rate Limiting**: Built-in rate limiting and retry logic #### Data Extraction System - **Modular Architecture**: Pluggable extractor system - **Built-in Extractors**: Layout, content, visual, and component extractors - **Custom Extractors**: Extensible for specific use cases - **Output Formats**: JSON and YAML support ### Technology Stack - **Runtime**: Node.js 18+ - **Language**: TypeScript - **Package Manager**: pnpm - **MCP SDK**: Model Context Protocol TypeScript SDK - **API Client**: Figma REST API - **Build Tool**: tsup for bundling ## ⚙️ Configuration Options ### Environment Variables ```env # Required: Figma API Configuration FIGMA_API_KEY=your_figma_api_key_here # Optional: Server configuration PORT=3333 OUTPUT_FORMAT=yaml # "yaml" or "json" # Optional: Performance settings MAX_DEPTH=10 # Maximum traversal depth RETRY_ATTEMPTS=3 # API retry attempts RETRY_DELAY=1000 # Retry delay in milliseconds ``` ### Configuration Management - Environment-based configuration with `.env` support - Runtime configuration validation - Default value handling - Type-safe configuration access ## 💻 Usage Examples ### MCP Server Mode (Recommended) ```bash # Install globally npm install -g figma-mcp # Run as MCP server figma-mcp --stdio # Or from source pnpm start:cli ``` ### HTTP Server Mode ```bash # Run as HTTP server figma-mcp # Server starts on http://localhost:3333 curl -X POST http://localhost:3333/tools/get_figma_data \ -H "Content-Type: application/json" \ -d '{"fileKey": "abc123", "nodeId": "1:23"}' ``` ### MCP Tool Usage ```json { "tool": "get_figma_data", "parameters": { "fileKey": "abc123def456", "nodeId": "1:23", "depth": 3 } } ``` ### Integration with AI Tools ``` AI: "Please analyze the design in this Figma file: https://www.figma.com/file/abc123def456/My-Design" MCP Server: Extracts comprehensive design data including: - Layout information (positioning, sizing, constraints) - Content data (text, images, icons) - Visual properties (colors, fonts, effects) - Component structure and relationships ``` ## 🔧 MCP Tools Reference ### `get_figma_data` Extracts comprehensive design data from Figma files. **Parameters:** - `fileKey` (required): Figma file key from URL - `nodeId` (optional): Specific node ID to extract - `depth` (optional): Maximum traversal depth for nested elements **Output:** Complete design data in YAML or JSON format including: - File metadata (name, version, last modified) - Node hierarchy and structure - Layout properties (position, size, constraints) - Content information (text, images) - Visual styling (colors, fonts, effects) - Component definitions and instances ### `download_figma_images` Downloads and processes images from Figma designs. **Parameters:** - `fileKey` (required): Figma file key - `nodeIds` (optional): Array of specific node IDs - `format` (optional): Image format (png, jpg, svg, pdf) - `scale` (optional): Image scale factor **Output:** Image URLs and metadata for download ## 🧪 Testing & Validation ### Integration Tests - ✅ **MCP Protocol Compliance**: Full protocol specification testing - ✅ **Figma API Integration**: Complete API endpoint coverage - ✅ **Data Extraction**: All extractor modules validated - ✅ **Error Handling**: Comprehensive error scenario testing - ✅ **Performance**: Benchmark tests for large files ### Development Tools - ✅ **MCP Inspector**: Built-in debugging and inspection tools - ✅ **CLI Interface**: Command-line tools for testing - ✅ **Logging System**: Comprehensive logging and monitoring - ✅ **Type Safety**: Full TypeScript coverage ### Quality Assurance - ✅ **Code Quality**: ESLint and Prettier integration - ✅ **Type Checking**: Strict TypeScript configuration - ✅ **Build Process**: Automated build and packaging - ✅ **Documentation**: Complete API and usage documentation ## 🎯 Integration with SDLC Workflow ### Design-to-Development Bridge - **Requirements Analysis**: Extract design requirements from Figma files - **Technical Specifications**: Generate technical requirements from design data - **Component Documentation**: Automatic component library documentation - **Design System Analysis**: Extract design tokens and patterns ### Workflow Integration ``` Design Review → Figma Analysis → Technical Requirements → Development Planning ↓ ↓ ↓ ↓ Figma File → MCP Extraction → Design Data → TRD Generation → Code Generation ``` ### AI-Powered Capabilities - **Design Analysis**: Automated design review and feedback - **Component Extraction**: Identify reusable components - **Accessibility Review**: Analyze design for accessibility compliance - **Design System Validation**: Ensure consistency with design systems ## 🚀 Future Enhancements ### Phase 4: Advanced Integration (Planned) - [ ] **Design System Integration**: Automatic design token extraction - [ ] **Component Library Generation**: Auto-generate component documentation - [ ] **Accessibility Analysis**: Built-in accessibility checking - [ ] **Version Comparison**: Compare design versions and track changes - [ ] **Collaborative Features**: Multi-user design analysis workflows ### Potential Improvements - **Real-time Updates**: Live design change notifications - **Advanced Analytics**: Design usage and performance metrics - **Custom Extractors**: User-defined data extraction patterns - **Export Integrations**: Direct export to development tools - **Design Validation**: Automated design guideline checking ## 📊 Benefits Achieved ### ✅ Seamless AI Integration - Direct AI assistant access to Figma design data - Structured data extraction for AI processing - Automated design analysis capabilities - Bridge between design and development workflows ### ✅ Comprehensive Data Access - Complete design file information extraction - Hierarchical component structure analysis - Visual property and styling data - Image and asset processing capabilities ### ✅ Developer Experience - Simple MCP protocol integration - Flexible deployment options (stdio/HTTP) - Comprehensive documentation and examples - Type-safe TypeScript implementation ### ✅ Production Ready - Robust error handling and retry logic - Performance optimized for large files - Comprehensive testing and validation - Professional documentation and support ## 📝 Version History ### v1.0 (2025-01-22) - **Initial Release**: Complete MCP server implementation - **Core Features**: Figma API integration, data extraction, image processing - **MCP Compliance**: Full Model Context Protocol support - **Documentation**: Comprehensive setup and usage guides - **Status**: ✅ Production Ready ### Planned Versions - **v1.1**: Enhanced design system integration - **v1.2**: Advanced component analysis features - **v2.0**: Real-time collaboration and advanced analytics ## 🔗 Related Documentation - [Figma MCP Source Code](../../mcp/figma/) - [Model Context Protocol Specification](https://modelcontextprotocol.io/) - [Figma REST API Documentation](https://www.figma.com/developers/api) - [Architecture Overview](../architecture/current-architecture.md) - [Features Index](../features-index.md) ## 🛠️ Development Setup ### Prerequisites - Node.js 18.0.0 or higher - pnpm package manager - Figma API access token ### Installation ```bash # Clone repository git clone git@github.com:tomdwipo/agent.git cd agent/figma-mcp # Install dependencies pnpm install # Configure environment cp .env.example .env # Edit .env with your Figma API key # Build project pnpm build # Run tests pnpm test # Start development server pnpm dev ``` ### Project Structure ``` figma-mcp/ ├── src/ │ ├── cli.ts # CLI entry point │ ├── server.ts # HTTP server implementation │ ├── config.ts # Configuration management │ ├── mcp/ # MCP protocol implementation │ ├── services/ # Figma API integration │ ├── extractors/ # Data extraction modules │ ├── transformers/ # Data transformation utilities │ └── utils/ # Common utilities ├── docs/ # Documentation and images ├── package.json # Project configuration └── README.md # Main documentation ``` --- **Last Updated**: 2025-01-22 **Current Status**: ✅ COMPLETE - Production Ready **Next Milestone**: v1.1 - Enhanced Design System Integration **Maintainer**: Development Team