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
基本情報
An mcp server that efificiently generates a node tree and related metadata for a figma node.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-figma-moonray": {
"command": "node",
"args": [
"client-example.js",
"https://www.figma.com/file/FILE_ID/PROJECT_NAME?node-id=NODE_ID",
"2"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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