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Figma Context MCP AIR

Figma Context MCP AIR

Give your AI coding agent access to Figma design data.
Implement designs in any framework with pixel-perfect accuracy — in one shot.

npm version npm downloads MIT License


What is this?

figma-context-mcp-air is a Model Context Protocol (MCP) server that gives AI coding tools (Cursor, Claude, Windsurf, etc.) direct access to your Figma design data.

It exposes 9 tools covering the full design-to-code workflow:

Tool

Description

get_figma_data

Full design data — layout, text, visuals, components (YAML/JSON)

get_design_context

Alias for get_figma_data matching the official Figma MCP tool naming

download_figma_images

Download PNG/SVG assets from Figma nodes to your local filesystem

get_screenshot

Capture a Figma node as a base64 PNG for visual inspection by the AI

get_metadata

Sparse XML layer hierarchy for quick node discovery before full extraction

get_variable_defs

All design tokens — colors, typography, spacing, effects, and styles

whoami

Verify your Figma authentication and check your plan tier

create_design_system_rules

Generate framework-specific design system documentation for your project

get_figjam

Extract FigJam board content (sticky notes, connectors, shapes) as XML

Before returning data to the AI, the server simplifies and filters the raw Figma API response — keeping only the layout and styling information that matters for code generation. This reduces noise and dramatically improves AI accuracy.


Related MCP server: figma-mcp-write-server

Getting Started

You need a Figma Personal Access Token to use this server.
How to create a Figma API access token →

MacOS / Linux

Add this to your MCP client configuration file (e.g. ~/.cursor/mcp.json, claude_desktop_config.json):

{
  "mcpServers": {
    "Figma MCP AIR": {
      "command": "npx",
      "args": ["-y", "figma-context-mcp-air", "--figma-api-key=YOUR-KEY", "--stdio"]
    }
  }
}

Windows

{
  "mcpServers": {
    "Figma MCP AIR": {
      "command": "cmd",
      "args": ["/c", "npx", "-y", "figma-context-mcp-air", "--figma-api-key=YOUR-KEY", "--stdio"]
    }
  }
}

Using Environment Variables

You can also set FIGMA_API_KEY in the env field instead of passing it as a flag:

{
  "mcpServers": {
    "Figma MCP AIR": {
      "command": "npx",
      "args": ["-y", "figma-context-mcp-air", "--stdio"],
      "env": {
        "FIGMA_API_KEY": "YOUR-KEY"
      }
    }
  }
}

How it works

  1. Open your AI coding tool's chat (e.g. agent mode in Cursor).

  2. Paste a link to a Figma file, frame, or component.

  3. Ask the AI to implement the design.

  4. The AI calls get_design_context (or get_figma_data) to fetch structured design data, then writes your code.

For more advanced workflows, the AI can:

  • Call get_screenshot to visually inspect a node before implementing it

  • Call get_variable_defs to extract your design tokens and map them to CSS variables

  • Call get_metadata for a quick layer overview before fetching full data

  • Call create_design_system_rules to generate project-specific coding guidelines


Configuration Options

CLI Flag

Environment Variable

Default

Description

--figma-api-key

FIGMA_API_KEY

(required)

Your Figma Personal Access Token

--figma-oauth-token

FIGMA_OAUTH_TOKEN

OAuth Bearer token (alternative to PAT)

--port

PORT

3333

HTTP server port (HTTP mode only)

--json

OUTPUT_FORMAT=json

YAML

Return JSON instead of YAML

--skip-image-downloads

SKIP_IMAGE_DOWNLOADS

false

Disable the download_figma_images tool

--image-dir

Custom directory for downloaded images

--stdio

NODE_ENV=cli

Run in stdio mode (required for MCP clients)


Tool Reference

get_figma_data / get_design_context

Fetches and simplifies Figma design data for a file or specific node. Returns layout (flexbox/grid), typography, colors, borders, effects, and component metadata in YAML or JSON.

Parameters:

  • fileKey (required) — The key from your Figma URL: figma.com/design/<fileKey>/...

  • nodeId (optional) — The node ID from the URL: ?node-id=<nodeId>. Use format 1234:5678.

  • depth (optional) — How many levels deep to traverse. Only use if explicitly needed.


download_figma_images

Downloads PNG or SVG renders of Figma nodes to your local filesystem.

Parameters:

  • fileKey (required)

  • nodes (required) — Array of { nodeId, fileName } objects

  • localPath (required) — Directory to save images

  • pngScale (optional) — Scale factor for PNG exports (default: 1)

  • svgOptions (optional) — SVG export options (outline text, include IDs, simplify strokes)


get_screenshot

Captures a Figma node as a 2x PNG and saves it to disk. Useful for visual validation.

Parameters:

  • fileKey (required)

  • nodeId (required)

  • localPath (optional) — Save directory (default: ./screenshots)

  • fileName (optional) — Output filename without extension


get_metadata

Returns a sparse XML representation of the node hierarchy (depth=2). Use this for quick layer discovery before fetching full design context.

Parameters:

  • fileKey (required)

  • nodeId (required)


get_variable_defs

Fetches all design tokens from a Figma file — variable collections (colors, spacing, typography) and published styles (effects, text styles, fill styles). Returns data with CSS custom property syntax.

Parameters:

  • fileKey (required)


whoami

Returns the authenticated user's Figma account information (name, email, plan tier). Useful for verifying your API key is working.

Parameters: None


create_design_system_rules

Generates a comprehensive markdown template for project-specific design system rules. Tailored to your language and framework combination. Save the output to CLAUDE.md or your project's AI instructions file.

Parameters:

  • clientLanguages (required) — e.g. "typescript,javascript"

  • clientFrameworks (required)"react", "vue", "svelte", "angular", or "unknown"


get_figjam

Extracts content from a FigJam board — sticky notes, connectors, shapes, sections — as XML with screenshot URLs.

Parameters:

  • fileKey (required)

  • nodeId (optional) — Specific section or frame within the FigJam board


Development

# Install dependencies
pnpm install

# Build
pnpm build

# Development mode (HTTP, with watch)
pnpm dev

# Development mode (stdio)
pnpm dev:cli

# Run tests
pnpm test

# Type check
pnpm type-check

# Lint
pnpm lint

Contributing

Contributions are welcome! Please read CONTRIBUTING.md before submitting a pull request.

For major features, open an issue first to discuss the approach.


License

MIT — see LICENSE


Acknowledgements

This project is a fork of GLips/Figma-Context-MCP (the Framelink MCP server), extended with additional tools to match the full official Figma MCP tool surface.

A
license - permissive license
-
quality - not tested
C
maintenance

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