Enterprise DNA
M MCP Servers Developer low

GLips/Figma-Context-MCP

by Various

MCP server to provide Figma layout information to AI coding agents like Cursor

G

MCP

GLips/Figma-Context-MCP

Added 1 June 2026

#ai #cursor #figma #mcp #typescript

Overview

MCP server that exposes Figma design files as structured context to AI coding agents like Cursor. Allows LLMs to read layout, component, and design token information directly from Figma, enabling code generation that matches design specifications without manual translation.

Best for

Best for
Teams using Figma and AI coding assistants who want to automate component generation from design files.

Use cases

  • Generate React components from Figma designs with accurate spacing and styling
  • Automate handoff from design to development by feeding design context to coding agents
  • Extract design tokens and component specs for consistent implementation

Notes

MCP server that exposes Figma design files as structured context to AI coding agents like Cursor. Allows LLMs to read layout, component, and design token information directly from Figma, enabling code generation that matches design specifications without manual translation.

14,946 stars on GitHub. Last updated 2026-05-27. Licensed MIT.

Use cases

  • Generate React components from Figma designs with accurate spacing and styling
  • Automate handoff from design to development by feeding design context to coding agents
  • Extract design tokens and component specs for consistent implementation

Pros

  • Bridges design-to-code gap by making Figma data machine-readable to LLMs
  • Works with existing MCP-compatible agents (Cursor, Claude, others)
  • Reduces manual design spec translation and copy-paste errors

Cons

  • Requires Figma API access and authentication setup
  • Output quality depends on how well Figma designs are structured and organized
  • Limited to layout and structure extraction, not pixel-perfect visual rendering

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Bridges design-to-code gap by making Figma data machine-readable to LLMs
  • Works with existing MCP-compatible agents (Cursor, Claude, others)
  • Reduces manual design spec translation and copy-paste errors

Cons

  • Requires Figma API access and authentication setup
  • Output quality depends on how well Figma designs are structured and organized
  • Limited to layout and structure extraction, not pixel-perfect visual rendering

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