Figma Context

Figma Context MCP

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MCP server to provide Figma layout information to AI coding agents

Published: 22/July/2025 Views: 246

What is Figma Context MCP?

Figma Context MCP is an open-source tool that helps developers and automation systems extract structured context from Figma designs. It converts Figma nodes and metadata into a predictable JSON format that follows the Model Communication Protocol (MCP) structure, making it easy to integrate with AI assistants, UI builders, documentation tools, and more.

Instead of manually parsing Figma files or relying on visual scraping, this tool provides a reliable way to understand what a Figma file represents — screens, components, properties, relationships — and outputs that as machine-readable context.

Figma Context MCP Key Features:

  • Extracts structured data from Figma frames and components
  • Converts Figma data into standard MCP-compliant JSON format
  • Provides clear layout, text, hierarchy, and styling metadata
  • Works well with AI agents, code generators, and documentation systems
  • Ideal for design-to-code workflows or context-aware development tools

Installation:

Figma Context MCP is a Node.js-based CLI tool. You can install it locally or clone the repo.

Clone and install:

git clone https://github.com/glips/figma-context-mcp.git
cd figma-context-mcp
npm install

Figma Setup:

  • Get a Figma personal access token
  • Obtain the file ID of your Figma design
  • Ensure the file is shared to your token’s access scope

Usage:

node index.js \
--token YOUR_FIGMA_TOKEN \
--file YOUR_FILE_ID \
--node PAGE_OR_FRAME_ID \
--output output.json

This will produce an output.json file containing structured data for the specified Figma node.

Output Format:
The generated JSON follows the Model Communication Protocol (MCP) layout with semantic structure such as:

{
"screen": {
"name": "Login",
"components": [
{
"type": "input",
"label": "Email Address",
"placeholder": "you@example.com"
},
{
"type": "button",
"text": "Sign In"
}
]
}
}

This makes it ideal for passing into AI models, chatbots, automation scripts, or design-to-code systems.

Figma Context MCP Use Cases:

  • Build intelligent developer tools that understand Figma structure
  • Feed design context into AI assistants like ChatGPT, Copilot, etc.
  • Power UI code generators using real design data
  • Automate documentation from design
  • Analyze and extract patterns from Figma designs at scale

Developer Information:

Author: Glips.ai team
License: MIT