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Figma MCP server for AI agents. 9 tools: design context, variables, screenshots, and FigJam.
Figma MCP server for AI agents. 9 tools: design context, variables, screenshots, and FigJam.
Valid MCP server (2 strong, 2 medium validity signals). 1 known CVE in dependencies Package registry verified. Imported from the Official MCP Registry.
7 files analyzed · 2 issues found
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Set these up before or after installing:
Environment variable: FIGMA_API_KEY
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-compassalessandrolorenz-figma-context-mcp-air": {
"env": {
"FIGMA_API_KEY": "your-figma-api-key-here"
},
"args": [
"-y",
"figma-context-mcp-air"
],
"command": "npx"
}
}
}From the project's GitHub README.
Give your AI coding agent access to Figma design data.
Implement designs in any framework with pixel-perfect accuracy — in one shot.
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.
You need a Figma Personal Access Token to use this server.
How to create a Figma API access token →
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"]
}
}
}
{
"mcpServers": {
"Figma MCP AIR": {
"command": "cmd",
"args": ["/c", "npx", "-y", "figma-context-mcp-air", "--figma-api-key=YOUR-KEY", "--stdio"]
}
}
}
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"
}
}
}
}
get_design_context (or get_figma_data) to fetch structured design data, then writes your code.For more advanced workflows, the AI can:
get_screenshot to visually inspect a node before implementing itget_variable_defs to extract your design tokens and map them to CSS variablesget_metadata for a quick layer overview before fetching full datacreate_design_system_rules to generate project-specific coding guidelines| 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) |
get_figma_data / get_design_contextFetches 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_imagesDownloads 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_screenshotCaptures 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 extensionget_metadataReturns 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_defsFetches 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)whoamiReturns the authenticated user's Figma account information (name, email, plan tier). Useful for verifying your API key is working.
Parameters: None
create_design_system_rulesGenerates 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_figjamExtracts 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# 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
Contributions are welcome! Please read CONTRIBUTING.md before submitting a pull request.
For major features, open an issue first to discuss the approach.
MIT — see LICENSE
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.
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