Figma Context AIR
FreeMaintainedExtended fork of the Figma Context MCP server providing AI coding tools with access to Figma design data, assets, and code documentation.
About
Extended fork of the Figma Context MCP server providing AI coding tools with access to Figma design data, assets, and code documentation.
README
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.
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
- Open your AI coding tool's chat (e.g. agent mode in Cursor).
- Paste a link to a Figma file, frame, or component.
- Ask the AI to implement the design.
- The AI calls
get_design_context(orget_figma_data) to fetch structured design data, then writes your code.
For more advanced workflows, the AI can:
- Call
get_screenshotto visually inspect a node before implementing it - Call
get_variable_defsto extract your design tokens and map them to CSS variables - Call
get_metadatafor a quick layer overview before fetching full data - Call
create_design_system_rulesto 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 format1234:5678.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 }objectslocalPath(required) — Directory to save imagespngScale(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.
from github.com/compassalessandrolorenz/figma-context-mcp-air
Installing Figma Context AIR
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/compassalessandrolorenz/figma-context-mcp-airFAQ
Is Figma Context AIR MCP free?
Yes, Figma Context AIR MCP is free — one-click install via Unyly at no cost.
Does Figma Context AIR need an API key?
Yes, it requires environment variables: FIGMA_API_KEY. Unyly injects them into the config during install.
Is Figma Context AIR hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Figma Context AIR in Claude Desktop, Claude Code or Cursor?
Open Figma Context AIR on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
Changes
Versions and requested access over time.
- New version published
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