AI agent converting Figma design into clean code

How I Turned My Figma Designs into Code Using MCP and AI Agent.

Figma

As a UX/UI designer, I am fascinated by the the coding although I don’t know much about coding I was trying some no-code tools, but they are not fully customized. Then Figma launches the MCP server. I did some research and found out, How can I connect my Figma file to the AI agent that can code and organize my files and create the structure for the coding?

Steps to follow connecting figma mcp and AI agent

Step 1:-

First download or get the IDE for the coding structure to set up. So you can use any IDE to work on code using the AI agent.

DownloadIDE

Step 2 :-

Then you need to get the MCP Server from the marketplace. The name of the MCP is Figma AI Bridge. It helps you to connect Figma with the coding IDE.

DownloadMCPServer

Step 3 :-

The next step is to get the Figma token from the Figma desktop app; then you need to copy the Figma token and paste it in the IDE MCP server part and confirm it.

FigmaToken

HTMLCode

Step 4 :-

If you want to check if Figma is connected to IDE, just copy the frame/layer link from Figma and paste it in the Prompt editor, and then prompt, Make a folder named Demo and structure the file and download all the images and PNGs into the image folder. If images are downloaded into the folder, then your Figma is connected.

AIAgentConnect

Step 5 :-

Start prompting and train your ai agent. At first it will not give you proper output, but you can provide the screenshot of your UI so it can give you appropriate output.

PromptingAI

Note:-

When you design the frame, try to give the layers proper names so the AI agent can read them in the proper order. Try to give the name according to technicality.

Written by
Nishant Vaghasiya

Nishant Vaghasiya

Technical Architect

I'm Nishant Vaghasiya, a Technical Architect and Umbraco & Sitecore Certified Developer at Arroact Technologies. I specialise in building digital solutions with Umbraco and Sitecore that are practical, scalable, and built to last.

Over the years, I've learned that the best solutions aren't always the most complex ones, they're the ones that make a team's day-to-day work simpler and give them confidence that the system won't let them down.

That's what drives me writing code that performs well, stays reliable, and continues to create real impact long after it goes live.