How I Started Learning MCP with Figma and Claude as a UI/UX Designer

Understanding MCP as a UI/UX Designer

MCP (Model Context Protocol) is a bridge that helps AI tools connect with external apps, files, and workflows. Last Saturday, I attended a Figma event (FoF) where they talked about MCP, AI workflows, and AI-powered prototyping. At first, I honestly didn’t understand what MCP actually was.

Simple workflow: Figma ↔ MCP ↔ Claude

Normally, AI only sees screenshots. But with MCP, AI can understand:

• frames
• typography
• spacing
• layouts
• components

instead of visually guessing the UI. That was my biggest “aha” moment.

Connecting Figma with Claude using MCP

Inside Claude, there’s an option called: Add Connector in Claude

Inside that, I connected: Figma MCP

After connecting, Claude can access Figma designs more intelligently.

Even though I’m still learning the full MCP workflow, I started understanding how AI can become part of the design process instead of just a chatbot.

My Current Workflow

workflow.

I upload:

• landing page screenshots
• hero sections
• UI screens

Then Claude helps with:

• UX feedback
• responsive redesigns
• HTML generation
• futuristic UI improvements

I even explored online hosting using: Netlify Drop

One thing I realized during this process:

AI doesn’t replace designers. It helps designers experiment and iterate faster.

Still Learning MCP

Right now, I’m still learning MCP step by step.

One important thing I understood is:

Both Claude and Figma desktop apps need to be installed on your PC or laptop for some MCP workflows.

It doesn’t fully work like a normal browser-based workflow.

Especially for:

• Figma MCP
• local file access
• advanced AI integrations

Final Thought:

The more I explore MCP, the more I feel like:

AI tools are slowly becoming design collaborators instead of just chat tools.

And honestly, this feels like the beginning of a new design workflow era.