figma-mcp-server

Zaki-goumri/figma-mcp-server

3.2

If you are the rightful owner of figma-mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to dayong@mcphub.com.

The Figma MCP Server is designed to facilitate seamless interaction between AI agents and Figma's design platform using the Model Context Protocol (MCP).

Tools
5
Resources
0
Prompts
0

Figma MCP Server Architecture

🏗️ Overall Architecture

┌─────────────────────────────────────────────────────────────────────────┐
│                           AI Agents Layer                              │
│  ┌─────────┐  ┌─────────┐  ┌─────────┐  ┌─────────┐  ┌─────────┐       │
│  │ Claude  │  │ ChatGPT │  │ Gemini  │  │ Cursor  │  │ Custom  │       │
│  └─────────┘  └─────────┘  └─────────┘  └─────────┘  └─────────┘       │
└─────────────────────────┬───────────────────────────────────────────────┘
                          │ Standard MCP Protocol
┌─────────────────────────┴───────────────────────────────────────────────┐
│                      MCP Server Core                                   │
│  ┌─────────────────┐  ┌─────────────────┐  ┌─────────────────┐         │
│  │   Tool Handler  │  │ Resource Handler│  │ Prompt Handler  │         │
│  └─────────────────┘  └─────────────────┘  └─────────────────┘         │
│                                │                                        │
│  ┌─────────────────────────────┴─────────────────────────────┐         │
│  │                Service Layer                              │         │
│  │  ┌─────────────┐ ┌─────────────┐ ┌─────────────┐         │         │
│  │  │ Figma API   │ │ Cache Layer │ │ Plugin Comm │         │         │
│  │  │ Service     │ │             │ │ (Optional)  │         │         │
│  │  └─────────────┘ └─────────────┘ └─────────────┘         │         │
│  └─────────────────────────────────────────────────────────┘         │
└─────────────────────┬───────────────────────────────────────────────────┘
                      │
┌─────────────────────┴───────────────────────────────────────────────────┐
│                    External Services                                   │
│  ┌─────────────────┐  ┌─────────────────┐  ┌─────────────────┐         │
│  │  Figma REST API │  │ Figma Plugin    │  │    Database     │         │
│  │                 │  │   (Optional)    │  │   (Optional)    │         │
│  └─────────────────┘  └─────────────────┘  └─────────────────┘         │
└─────────────────────────────────────────────────────────────────────────┘

📁 Project Structure

figma-mcp-server/
├── package.json
├── tsconfig.json
├── .env.example
├── README.md
├── src/
│   ├── index.ts                    # Entry point
│   ├── server/
│   │   ├── mcp-server.ts          # Core MCP server setup
│   │   ├── tool-handler.ts        # Tool request handling
│   │   ├── resource-handler.ts    # Resource management
│   │   └── prompt-handler.ts      # Prompt definitions
│   ├── services/
│   │   ├── figma-api.ts           # Figma REST API client
│   │   ├── cache.ts               # Caching layer
│   │   ├── plugin-comm.ts         # Plugin communication (future)
│   │   └── design-intelligence.ts # AI-powered features
│   ├── tools/
│   │   ├── base-tool.ts           # Abstract tool class
│   │   ├── read-tools/            # Read operations
│   │   │   ├── get-document.ts
│   │   │   ├── get-nodes.ts
│   │   │   ├── search-nodes.ts
│   │   │   └── export-nodes.ts
│   │   ├── write-tools/           # Write operations (future)
│   │   │   ├── create-nodes.ts
│   │   │   ├── modify-nodes.ts
│   │   │   └── delete-nodes.ts
│   │   └── analysis-tools/        # AI-powered analysis
│   │       ├── analyze-design.ts
│   │       ├── suggest-improvements.ts
│   │       └── check-accessibility.ts
│   ├── types/
│   │   ├── figma.ts              # Figma API types
│   │   ├── mcp.ts                # MCP-specific types
│   │   └── common.ts             # Shared types
│   └── utils/
│       ├── errors.ts             # Error handling
│       ├── validation.ts         # Input validation
│       └── helpers.ts            # Utility functions
├── tests/
│   ├── unit/
│   ├── integration/
│   └── fixtures/
└── docs/
    ├── API.md
    ├── TOOLS.md
    └── DEPLOYMENT.md

🚀 Implementation Phases

Phase 1: Foundation (Week 1)

Goal: Basic MCP server with essential read operations

Features:

  • ✅ MCP server setup with TypeScript
  • ✅ Figma REST API integration
  • ✅ Basic authentication
  • ✅ Essential read tools:
    • get_document - Get document info
    • get_nodes - Get specific nodes
    • search_nodes - Search by type/name
    • export_nodes - Export as images

Deliverable: Working MCP server that can read Figma files

Phase 2: Enhanced Reads (Week 2)

Goal: Advanced read capabilities and caching

Features:

  • ✅ Caching layer for performance
  • ✅ Advanced search capabilities
  • ✅ Batch operations
  • ✅ Additional tools:
    • get_components - List local components
    • get_styles - Get document styles
    • get_comments - Read comments
    • analyze_structure - Document structure analysis

Deliverable: Fast, feature-rich read-only MCP server

Phase 3: AI Intelligence (Week 3)

Goal: AI-powered design analysis and suggestions

Features:

  • ✅ Design pattern recognition
  • ✅ Accessibility analysis
  • ✅ Design system compliance checking
  • ✅ Smart suggestions
  • ✅ Tools:
    • analyze_design_system - Check consistency
    • suggest_improvements - AI recommendations
    • check_accessibility - A11y compliance
    • find_similar_components - Pattern matching

Deliverable: Intelligent design analysis capabilities

Phase 4: Write Operations (Week 4)

Goal: Basic write capabilities via REST API

Features:

  • ✅ Comment creation and management
  • ✅ File organization operations
  • ✅ Preparation for plugin integration
  • ✅ Tools:
    • create_comment - Add comments
    • update_comment - Modify comments
    • organize_files - File management
    • prepare_plugin_setup - Plugin scaffolding

Deliverable: Write-enabled MCP server

Phase 5: Plugin Integration (Week 5+)

Goal: Full read/write via Figma plugin

Features:

  • ✅ Figma plugin development
  • ✅ Real-time communication
  • ✅ Full CRUD operations
  • ✅ Live selection tracking

Deliverable: Complete Figma automation platform

🛠️ Technology Stack

Core Technologies

  • TypeScript - Type-safe development
  • Node.js - Runtime environment
  • MCP SDK - Official Anthropic SDK
  • Zod - Runtime validation
  • Winston - Logging

Development Tools

  • Jest - Testing framework
  • ESLint - Code linting
  • Prettier - Code formatting
  • Husky - Git hooks
  • Changeset - Version management

Optional Enhancements

  • Redis - Advanced caching
  • PostgreSQL - Persistent storage
  • WebSocket - Real-time communication
  • OpenAI API - Enhanced AI features

🎯 Key Design Principles

1. Universal Compatibility

  • Standard MCP protocol adherence
  • Works with any MCP-compatible agent
  • No agent-specific dependencies

2. Modular Architecture

  • Clean separation of concerns
  • Easy to extend and modify
  • Plugin-based tool system

3. Performance First

  • Smart caching strategies
  • Batch operation support
  • Optimized API calls

4. Developer Experience

  • Comprehensive TypeScript types
  • Clear error messages
  • Extensive documentation
  • Easy local development

5. Scalability

  • Horizontal scaling support
  • Rate limiting
  • Resource management
  • Configuration-driven

📋 Step-by-Step Implementation Plan

Step 1: Project Setup

mkdir figma-mcp-server
cd figma-mcp-server
pnpm init
# Install dependencies
# Setup TypeScript
# Configure dev tools

Step 2: Core MCP Server

// Basic server setup with MCP SDK
// Tool registration system
// Request/response handling

Step 3: Figma API Integration

// REST API client
// Authentication handling
// Rate limiting
// Error handling

Step 4: Essential Tools

// Document reading tools
// Node information tools
// Search capabilities
// Export functionality

Step 5: Testing & Validation

# Unit tests
# Integration tests
# MCP agent compatibility tests

🔧 Configuration System

interface FigmaMCPConfig {
  figma: {
    token: string;
    rateLimitPerMinute: number;
    timeoutMs: number;
  };
  cache: {
    enabled: boolean;
    ttlSeconds: number;
    maxSize: number;
  };
  features: {
    aiAnalysis: boolean;
    pluginSupport: boolean;
    batchOperations: boolean;
  };
  logging: {
    level: 'debug' | 'info' | 'warn' | 'error';
    file?: string;
  };
}

🚀 Getting Started Commands

# Development
npm run dev          # Start in development mode
npm run build        # Build for production
npm run test         # Run tests
npm run lint         # Lint code

# Usage with different agents
npx figma-mcp-server  # Direct usage
# Add to MCP config for Claude, ChatGPT, etc.

📈 Future Enhancements

Advanced Features

  • Multi-file operations - Work across multiple Figma files
  • Version control integration - Git-like operations for designs
  • Team collaboration - Multi-user session management
  • Design tokens - Advanced design system management
  • Automated testing - Visual regression testing
  • AI-generated designs - Create designs from descriptions

Platform Integrations

  • Slack/Discord bots - Design updates and notifications
  • CI/CD integration - Automated design validation
  • Jira/Linear - Link designs to tickets
  • Confluence - Design documentation generation
  • Storybook - Component library sync

Ready to start with Step 1? Let me know and I'll guide you through setting up the project foundation!