MCP Server

Figma MCP Server

Official Figma MCP server for reading designs, generating layers, and creating assets with your design system.

9

Installation

See https://github.com/figma/mcp-server-guide for setup
Platform
Claude Code, Cursor, VS Code, Codex
Pricing
free
Author
Figma
Last Tested
2026-04-01

About this Tool

The official Figma MCP server lets AI agents read and write to Figma files. Pull design context into code, send rendered UI back as editable frames, and generate design assets using your components, variables, and tokens. Agents read your library first and build with what exists, so output reflects your design system. Supports skills for controlling how agents work in Figma.

Use Case Examples

  • Generate marketing landing page mockups from design system components
  • Convert Figma ad creatives to code for implementation
  • Create social media graphic templates aligned with brand guidelines

MarketCore Editorial Review

MarketCore Editorial Review

Critical for marketing teams where design and content production overlap. The official Figma MCP server lets Claude read design files, extract component specs, and interact with the Figma API — enabling workflows where AI generates ad copy, content, and design variations without constant file export/import cycles.

Best For

  • Extract copy from Figma frames to review for tone and brand consistency before handoff
  • Read design system components to ensure AI-generated content matches layout constraints
  • Pull campaign creative specs directly into Claude for media plan alignment

Code Quality

Official Figma-maintained server reflecting first-party API expertise. Read access is well-implemented; write operations are more limited. OAuth authentication is properly scoped.

Limitations

Write operations (making design changes) are limited compared to read capabilities. Large Figma files with complex components can produce large context payloads. Primarily a read tool for most marketing workflows.

Reviewed 2026-04-01

Score Breakdown

9

Overall Score

Based on 5 dimensions

Installation
8/10
Documentation
10/10
Relevance
8/10
Quality
10/10
Maintenance
10/10

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