Figma Mcp Pro

Name: Figma Mcp Pro
Author: artemsvit

@artemsvit

About Figma Mcp Pro

Professional MCP server for seamless Figma design analysis with intelligent comment processing and automated asset downloads.

#figma #figmadesign #designtocode #mcp #figmamcp #analyze

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "Figma MCP PRO": {
      "command": "npx",
      "args": [
        "figma-mcp-pro@latest",
        "--figma-api-key",
        "your-api-key-here"
      ],
      "env": {
        "DEBUG": "true"
      }
    }
  }
}

Tools

STEP 1: Show available frameworks to user. Call with empty object {}. Shows options, then STOP and wait for user to tell you their choice. DO NOT make further tool calls until user provides their framework preference.

STEP 2: Get well-structured, AI-optimized Figma design data with framework-specific optimizations. Analyzes layout, components, coordinates, visual effects (shadows, borders), design tokens. PURE DESIGN DATA ONLY - no comments. Use AFTER user chooses framework. Can accept full Figma URL to automatically extract file and node selection. If getting unintended content, select a more specific element in Figma.

STEP 3: Process designer comments with smart coordinate matching. Use AFTER get_figma_data when you want to analyze designer instructions. Converts comments into actionable AI prompts for implementation.

STEP 4: Automatically scan selected area for ALL export-ready assets and download them with reference.png. Takes Figma URL, finds all nodes with export settings in selected area, downloads them with Figma export settings, plus creates reference.png of whole selection.

STEP 5: Analyze reference.png file for design understanding. Provides design context, layout analysis, component structure guidance, and framework-specific development recommendations before starting code implementation.

Overview

What is Figma Mcp Pro?

A professional Model Context Protocol (MCP) server that provides AI‑optimized Figma design analysis through a clean five‑step workflow. It converts Figma designs into structured data for AI code generation, supporting smart comment processing and asset downloads. It is intended for developers and designers who want to streamline design‑to‑code conversion.

How to use Figma Mcp Pro?

Install globally via npm (npm install -g figma-mcp-pro), obtain a Figma API token, then add the provided MCP configuration (with your API key) to your MCP client’s settings file (e.g., claude_desktop_config.json for Claude Desktop, VS Code MCP settings for Claude Code, or the MCP configuration in Cursor, Windsurf, or TRAE). The server exposes five core tools: show_frameworks, get_figma_data, process_design_comments, download_design_assets, and check_reference.

Key features of Figma Mcp Pro

Five‑step workflow: framework selection, design data, comments, assets, reference analysis.
Data structured specifically for AI code generation.
Supports ten frameworks: React, Vue, Angular, Svelte, HTML/CSS/JS, SwiftUI, UIKit, Electron, Tauri, NW.js.
Smart coordinate‑based comment matching to UI elements.
Batch asset downloads preserving original Figma export settings.
Automatic CSS generation from Figma properties (padding, margins, borders, effects).

Use cases of Figma Mcp Pro

Convert Figma designs into AI‑ready code for a chosen front‑end framework.
Extract and map designer comments to specific UI elements with implementation hints.
Download all export‑ready assets with original file names and formats.
Analyze a reference screenshot for design understanding and development guidance.
Accelerate prototyping by generating structured layout, styling, and responsive data.

FAQ from Figma Mcp Pro

How do I get a Figma API key?

Obtain your API token from Figma Account Settings → Personal access tokens.

Which frameworks are supported?

React, Vue, Angular, Svelte, HTML/CSS/JS, SwiftUI, UIKit, Electron, Tauri, and NW.js.

What data does the server extract from a Figma design?

Layout properties (padding, margins, gaps, auto‑layout), styling (colors, borders, shadows, effects, typography), component hierarchy, semantic roles, and responsive sizing/constraints.

How does comment processing work?

Comments are matched to design elements via coordinates, and each comment is turned into an actionable AI implementation prompt (e.g., “Add hover animation to Button component”) along with element details and positioning.