Figma Context MCP AIR

io.github.compassalessandrolorenz由 GitHub 帳號 compassalessandrolorenz 發布v2.0.2更新於 Oct 27, 2026

Figma MCP server for AI agents. 9 tools: design context, variables, screenshots, and FigJam.

發布方自己的服務:Figma MCP Server

已驗證STDIO僅桌面開發者工具媒體與設計

概覽

AI 產生的概覽

本機 MCP 伺服器,讓 AI 程式助理讀取 Figma 設計資料,進而把設計實作為程式碼。

可以做什麼
  • 取得並簡化 Figma 檔案或節點的設計資料(版面、字體、顏色、元件)
  • 下載 PNG/SVG 素材,並把節點截圖存到本機檔案系統
  • 讀取設計權杖、變數與已發布樣式,輸出 CSS 自訂屬性語法
  • 以精簡 XML 檢視圖層結構,並擷取 FigJam 白板內容
  • 產生符合框架的設計系統規則,並驗證 Figma 帳號驗證狀態
適用情境
適合想讓 AI 程式助理把 Figma 檔案、畫框或元件依指定框架寫成程式碼,或把設計權杖與素材帶進專案的情境。
執行需求
透過 npx(Node.js)以 stdio 模式在本機執行。需要 Figma 個人存取權杖,透過 FIGMA_API_KEY 或 --figma-api-key 參數提供,也可改用 OAuth 權杖。需要連線至 Figma API 的網路存取。
安裝前請注意
Figma 權杖屬於機密,可能在命令列或 env 欄位中傳遞,請勿放入共用設定。此伺服器會讀取你的 Figma 檔案與帳號資訊(姓名、電子郵件、方案),並把下載的圖片與截圖寫入你指定的本機目錄。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Figma Context MCP AIR,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

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:

ToolDescription
get_figma_dataFull design data — layout, text, visuals, components (YAML/JSON)
get_design_contextAlias for get_figma_data matching the official Figma MCP tool naming
download_figma_imagesDownload PNG/SVG assets from Figma nodes to your local filesystem
get_screenshotCapture a Figma node as a base64 PNG for visual inspection by the AI
get_metadataSparse XML layer hierarchy for quick node discovery before full extraction
get_variable_defsAll design tokens — colors, typography, spacing, effects, and styles
whoamiVerify your Figma authentication and check your plan tier
create_design_system_rulesGenerate framework-specific design system documentation for your project
get_figjamExtract 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):

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

Windows

json
{  "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:

json
{  "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 FlagEnvironment VariableDefaultDescription
--figma-api-keyFIGMA_API_KEY(required)Your Figma Personal Access Token
--figma-oauth-tokenFIGMA_OAUTH_TOKEN—OAuth Bearer token (alternative to PAT)
--portPORT3333HTTP server port (HTTP mode only)
--jsonOUTPUT_FORMAT=jsonYAMLReturn JSON instead of YAML
--skip-image-downloadsSKIP_IMAGE_DOWNLOADSfalseDisable the download_figma_images tool
--image-dir——Custom directory for downloaded images
--stdioNODE_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

bash
# Install dependenciespnpm install
# Buildpnpm build
# Development mode (HTTP, with watch)pnpm dev
# Development mode (stdio)pnpm dev:cli
# Run testspnpm test
# Type checkpnpm type-check
# Lintpnpm 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.

來源:README.md,提交 234a9b1

工具

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版本歷史

1
  1. v2.0.2最新Sep 16, 2026

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