Figma MCP Server — Bridge Design and Code with AI
The Figma MCP server bridges design and development by letting your AI assistant read Figma files, extract components, and understand design systems.
Capabilities
- Read file data and structure
- Extract component properties
- Get image exports
- Access design tokens
- Inspect node hierarchies
Setup
Generate a Figma Personal Access Token from your Figma settings page.
Visit our Figma MCP page for the config or use:
{"mcpServers":{"figma":{"command":"npx","args":["-y","@figma/mcp-server"],"env":{"FIGMA_ACCESS_TOKEN":"figd_..."}}}}Workflow
Ask: “What components are in the main design file?” or “Export the hero section as an image.” Your AI can describe designs in code terms.
Bridging the Gap Between Design and Implementation
The Figma MCP server changes the paradigm of frontend development. Instead of manually inspecting CSS properties and redlining spacing, you can instruct your AI to pull the raw JSON representation of a Figma node. This allows the LLM to directly interpret the auto-layout settings, color variables, and typography rules, converting them into precise React components or Tailwind CSS classes.
To maximize this tool, organize your Figma files logically. The AI performs best when layers are named semantically and components use clear variant properties. Exposing a poorly structured Figma file to the MCP server will likely yield messy code. A clean design system translates directly to high-quality code generation.
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