Figma Context MCP AIR

io.github.compassalessandrolorenz由 GitHub 账号 compassalessandrolorenz 发布v2.0.2更新于 Oct 27, 2026

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

发布方自己的服务:Figma MCP Server

已验证STDIO仅桌面开发者工具媒体与设计

概览

AI 生成的概览

本地 MCP 服务器,让 AI 编程助手读取 Figma 设计数据,从而把设计实现为代码。

可以做什么
  • 获取并简化 Figma 文件或节点的设计数据(布局、字体、颜色、组件)
  • 下载 PNG/SVG 素材,并把节点截图保存到本地文件系统
  • 读取设计令牌、变量与已发布样式,输出 CSS 自定义属性语法
  • 以稀疏 XML 查看图层结构,并提取 FigJam 白板内容
  • 生成适配框架的设计系统规则,并验证 Figma 账号认证
适用场景
适合希望让 AI 编程助手把 Figma 文件、画板或组件按指定框架写成代码,或把设计令牌与素材引入项目的场景。
运行要求
通过 npx(Node.js)以 stdio 模式在本地运行。需要 Figma 个人访问令牌,通过 FIGMA_API_KEY 或 --figma-api-key 参数提供,也可改用 OAuth 令牌。需要访问 Figma API 的网络连接。
安装前请注意
Figma 令牌属于机密,可能在命令行或 env 字段中传递,请勿放入共享配置。该服务器会读取你的 Figma 文件与账号信息(姓名、邮箱、套餐),并把下载的图片和截图写入你指定的本地目录。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Figma Context MCP AIR,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

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.

来源:README.md,提交 234a9b1

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v2.0.2最新Sep 16, 2026

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