A Model Context Protocol (MCP) server for Figma integration
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# Figma MCP Server > **English**: [README.en.md](README.en.md) | **中文**: [README.zh-CN.md](README.zh-CN.md) [](README.en.md) [](README.zh-CN.md) ## 🌍 Language Selection / 语言选择 ### 🇺🇸 English For English documentation, please visit: **[README.en.md](README.en.md)** ### 🇨🇳 中文 对于中文文档，请访问：**[README.zh-CN.md](README.zh-CN.md)** --- ## 🚀 Quick Overview / 快速概览 A specialized MCP server designed for **developers** to systematically extract and organize Figma design files at the **page level**. 一个专门为**程序员**设计的MCP服务器，用于系统性地按**页面级别**提取和组织Figma设计文件。 ## 🎯 **Main Feature: Complete Node Data Extraction** / **主要功能：完整节点数据提取** ### get_complete_node_data ⭐ **Primary Tool** / **主要工具** Get complete node data (tree structure + images) and organize into folders 获取完整的节点数据（树结构 + 图片）并组织到文件夹中 **Workflow / 工作流程:** ```mermaid graph TD A[Input: file_key + node_ids] --> B[Extract Tree Structure] B --> C[Get Node Names] C --> D[Download Images] D --> E[Organize Files to Folder] E --> F[Create Summary Info] F --> G[Output Complete Data Package] ``` - **Parameters / 参数**: - `file_key`: Figma file unique identifier / Figma 文件唯一标识符 - `node_ids`: Node IDs, comma-separated / 节点 ID，逗号分隔 - `image_format`: Image format (default: png) / 图片格式（默认：png） - `image_scale`: Image scale factor (default: 1.0) / 图片缩放因子（默认：1.0） - `tree_depth`: Tree depth (default: 4) / 树深度（默认：4） **Output Structure / 输出结构:** ``` your_node_name_your_node_id_here/ ├── nodesinfo.json # Complete tree structure data (core) / 完整树结构数据（核心） └── your_node_id_here.png # Downloaded image file / 下载的图片文件 ``` ### 🧠 **Why This Structure for AI Understanding** / **为什么这种结构适合 AI 理解** This output structure is specifically designed to help AI understand design comprehensively: 这种输出结构专门设计用于帮助 AI 全面理解设计： #### **Multi-modal Information Fusion** / **多模态信息融合** - **Structured Data** (`nod…
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