MCP server that translates Figma API data into concise Model Context Protocol responses so AI coding tools (e.g. Cursor) can implement designs accurately.
https://github.com/GLips/Figma-Context-MCPStop wrestling with inaccurate implementations when your AI coding assistant tries to recreate designs from screenshots. This MCP server connects Figma directly to tools like Cursor, giving them the structured design data they need to nail your layouts on the first try.
You paste a screenshot into Cursor, describe what you want built, and get... something that's close but needs multiple rounds of back-and-forth to get right. Colors are off, spacing is wrong, component hierarchy doesn't match your design system.
The issue isn't your AI tool - it's trying to reverse-engineer visual information from pixels instead of working with actual design data.
Instead of screenshots, you paste Figma URLs directly into your AI coding session. The MCP server fetches the design data, translates it into clean, structured context, and feeds it to your AI tool with precise layout information, styling details, and component relationships.
What you get:
Design System Components: Point Cursor at your Figma component library. It understands your button variants, input states, and spacing tokens without you explaining the design system repeatedly.
Landing Page Layouts: Paste a Figma frame URL and watch Cursor build responsive layouts with correct breakpoints, proper semantic HTML, and accurate styling - not approximations based on visual guesswork.
Complex UI Flows: Multi-step forms, dashboard layouts, mobile app screens - anything where precise positioning and state management matter gets implemented correctly the first time.
The server runs as a standard MCP service that your AI tools can query. It handles Figma API authentication, caches responses to respect rate limits, and translates the verbose Figma API responses into focused context that includes only what matters for implementation.
Quick setup for Cursor:
{
"mcpServers": {
"Framelink Figma MCP": {
"command": "npx",
"args": ["-y", "figma-developer-mcp", "--figma-api-key=YOUR-KEY", "--stdio"]
}
}
}
You'll need a Figma personal access token, but once configured, the integration is transparent - just paste Figma URLs in your AI chat and the context flows automatically.
Traditional approaches force AI tools to guess at design intent from visual information. This server provides the actual design data: exact pixel values, color codes, font specifications, and layout relationships. Your AI tool spends less time guessing and more time implementing.
The server specifically filters and formats Figma's verbose API responses to include only implementation-relevant data, keeping context focused and improving AI accuracy.
The server supports any MCP-compatible AI tool, but it's optimized for Cursor workflows. With 8,500+ GitHub stars and active development, it's becoming the standard approach for design-to-code workflows that actually work.
Check the quickstart guide to get running in under 5 minutes, or dive into the GitHub repository if you want to understand the implementation details.
Your designs deserve better than screenshot-based approximations. Give your AI tools the structured data they need to implement your vision accurately.