Overview
What is Framelink Figma MCP Server?
Framelink Figma MCP Server is a Model Context Protocol (MCP) server that gives AI-powered coding tools (like Cursor, Windsurf, and Cline) access to Figma file data. It fetches relevant metadata from the Figma API and simplifies it so coding agents can accurately implement designs in any framework in one shot.
How to use Framelink Figma MCP Server?
Install the server via an MCP configuration file using the command npx -y figma-developer-mcp --figma-api-key=YOUR-KEY --stdio. You must first create a Figma personal access token. Then paste a Figma file, frame, or group link into your AI coding tool’s chat and ask it to perform actions like implementing the design.
Key features of Framelink Figma MCP Server
- Gives coding agents direct access to Figma design data.
- Simplifies Figma API responses for improved AI accuracy.
- Reduces context size for more relevant model responses.
- Works with Cursor, Windsurf, Cline, and other MCP-compatible tools.
- Supports links to Figma files, frames, or groups.
Use cases of Framelink Figma MCP Server
- One-shot implementation of a Figma design into code using an AI coding assistant.
- Fetching layout and styling metadata from Figma for generative UI coding.
- Rapid prototyping by connecting design files directly to development workflows.
FAQ from Framelink Figma MCP Server
What do I need to use this server?
You need a Figma personal access token. Instructions for creating one are available in the Figma help center.
How is this server installed?
It runs via npx, so no manual download is needed. Add the MCP configuration (shown in the README) to your code editor’s MCP settings file.
Is this server only for Cursor?
It is specifically designed for Cursor but also works with Windsurf, Cline, and other AI coding tools that support the Model Context Protocol.
What happens when I paste a Figma link?
The server fetches the relevant metadata from the Figma API, simplifies it to remove unnecessary details, and provides the condensed design information to the AI model for code generation.
Are there any runtime requirements?
The server runs via npx, which requires Node.js. It communicates over stdio using the MCP protocol.
