How to Use Figma MCP Server with Your AI

The gap between design and code has always been one of the biggest sources of friction in product development. Designers create in Figma, then developers interpret screenshots and specs to build the actual UI. The Figma MCP server closes that gap by letting your AI read Figma files directly and translate design data into code.

Instead of manually inspecting spacing, colors, and component structures, your AI pulls that information straight from the source.

What It Does

The Figma MCP server connects your AI to the Figma API, giving it the ability to read file and component data from your Figma projects. It can inspect design tokens like colors, typography, spacing, and effects. It can read component structures, variants, and properties. It can extract layout information including auto-layout settings, constraints, and dimensions. And it can access comments and annotations on design files.

This turns your AI into a design-aware coding assistant that understands not just what something looks like, but how it was structured in Figma.

Prerequisites

• A Figma account with access to the files you want to work with.
• A Figma Personal Access Token. Generate one from your Figma account settings.
• Node.js 18 or later installed on your machine.
• An MCP-compatible AI client such as Claude Desktop, Cursor, or Windsurf.

Step-by-Step Setup

1. Generate a Figma Access Token

In Figma, click your profile icon, go to Settings, scroll down to "Personal access tokens," and generate a new token. Give it a descriptive name and copy the token.

2. Add the Server Configuration

In your AI client's MCP configuration, add:

json{
  "mcpServers": {
    "figma": {
      "command": "npx",
      "args": ["-y", "mcp-figma"],
      "env": {
        "FIGMA_ACCESS_TOKEN": "your_token_here"
      }
    }
  }
}

3. Get Your File Keys

Every Figma file has a unique key in its URL. For example, in figma.com/file/ABC123/MyDesign, the key is ABC123. You will reference these keys when asking your AI to read specific files.

4. Restart Your AI Client

Save and restart. Your AI will now be able to access your Figma files through the API.

Things to Try

Here are workflows that demonstrate the power of design-to-code with AI:

• "Read the Button component from my design system file and generate a React component with Tailwind CSS that matches it." Your AI extracts colors, padding, border radius, typography, and states, then produces code that matches.

• "What colors and fonts are used in my landing page design?" Get a complete list of design tokens from any Figma file without manually inspecting each element.

• "Look at the card component in my Figma file and tell me if it matches the implementation in my codebase." Design-to-code auditing that catches drift between design and implementation.

• "Extract all the spacing values used in my dashboard layout and create a spacing scale for my CSS." Turn visual design decisions into systematic code.

• "Read the comments on my latest design file and summarize the feedback from the team." Stay on top of design reviews without opening Figma.

Tips and Tricks

Reference specific frames and components. Figma files can be large. When asking your AI to read a file, point it to a specific page, frame, or component name rather than asking it to read the entire file.

Use it during implementation. The best time to use this server is when you are actively building a UI. Keep your AI connected to Figma and your code simultaneously, so you can ask "Does this match the design?" as you work.

Extract design systems. If your team has a component library in Figma, use the MCP server to programmatically extract all design tokens. This is faster and more accurate than manual documentation.

Iterate faster. When the design changes, ask your AI to read the updated Figma file and tell you what changed compared to the previous version. This makes design iteration smoother.

Tools That Pair Well

The Figma MCP server fits naturally into a design-to-code pipeline with other a-gnt tools. The Filesystem MCP server lets your AI write the generated code directly to your project files. Use the GitHub MCP server to create PRs with the design implementation. And the Slack MCP server can notify your design team when implementations are ready for review.

Find It on a-gnt

Explore the full listing for the Figma MCP server on a-gnt for setup guides, community examples, and tips for design-to-code workflows.