What prerequisites are needed to run the server?
Node.js 16+ and npm or yarn are required. You also need a valid Figma API key.
@moonray
基本信息
An mcp server that efificiently generates a node tree and related metadata for a figma node.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-figma-moonray": {
"command": "node",
"args": [
"client-example.js",
"https://www.figma.com/file/FILE_ID/PROJECT_NAME?node-id=NODE_ID",
"2"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
An MCP (Model Context Protocol) server for analyzing Figma file structures. It extracts node hierarchies from Figma files and can be used both as a REST API server and as an MCP server for LLM integration. It is intended for developers working with Figma design files and AI‑assisted workflows.
Install the package globally via npm (npm install -g figma-mcp-server) or build from source. Configure your Figma API key in a .env file (variable FIGMA_API_KEY). Start the REST API with npm start or run the MCP CLI with figma-mcp-server --cli. Send analysis requests to the POST /analyze endpoint with a Figma URL and optional depth parameter.
.env fileNode.js 16+ and npm or yarn are required. You also need a valid Figma API key.
You can generate an API key from your Figma account settings at https://www.figma.com/developers/api#access-tokens.
Yes. Run `npm start` to start an Express server on port 3000 (or a custom port set in `.env`). Use the `POST /analyze` endpoint to analyze files.
It controls how many levels of the node tree are returned. If omitted, the server uses a default depth.
Yes. A Dockerfile is provided. Build the image with `docker build -t figma-mcp-server .` and run it with `docker run -p 3000:3000 --env-file .env figma-mcp-server`.

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