Figma AI
Figma AI is a code assistant and design automation layer built into Figma's collaborative canvas. It covers Figma Design, Figma Make, FigJam, Dev Mode, and related products, so teams can generate layouts, edit images, automate layer cleanup, and ship prototypes without leaving one workspace.
Where most AI design tools sit outside your file library, Figma AI keeps agents, credits, and design context on the same canvas your team already uses. Its MCP server lets external coding agents in Cursor, Claude, GitHub, and OpenAI read Figma frames and push code-backed changes, which is a tighter loop than exporting specs to a separate codegen tool.
Product designers, design engineers, and product managers use it to explore directions with the Figma agent, prompt Figma Make into working prototypes, and connect production code back to the canvas for review. Enterprise teams can pool AI credits, allocate budgets by department, and audit usage through an API.
Figma agent on canvas generates design directions, diagrams, image edits, and file search (Beta, no AI credits consumed during beta)
Starter includes 150 AI credits per day, capped at 500 AI credits per month across Figma AI features
Professional Full seats include 3,000 shared AI credits per month; Organization Full seats include 3,500
MCP server connects Figma to Cursor, Claude, GitHub, OpenAI, and Gemini so agents read and act on design context
Figma Make prompts turn ideas and existing frames into prototypes, web apps, and pull requests from a local codebase
Generative plugins let teams describe custom canvas tools the Figma agent builds and shares across the organization
Enterprise admins allocate AI credits by team or cost center and pull usage data through the AI credit usage API
Keeps AI generation, editing, and search inside the same Figma files teams already share
MCP server bridges design files to Cursor, Claude, GitHub, and other agentic coding workflows
Shared AI credit pool spans Design, Make, FigJam, and other Figma AI features with optional top-ups
Enterprise controls include credit allocation by department and a programmatic AI usage API
Most advanced AI features require paid Full seats rather than the free Starter allotment
AI agent and several Weave, shader, and Make-on-codebase capabilities remain in beta with changing limits
Seat-based pricing splits Full, Dev, and Collab access, so mixed teams need multiple seat types
Where do I find Figma AI features?
Figma AI features appear inside Figma Design, Figma Make, FigJam, Dev Mode, and related products on the same canvas. Open a design file or Make project and use agent, image, text, or search tools from the product UI described on figma.com/ai.
How do AI credits work in Figma AI?
Figma AI draws from one shared credit pool across AI features. Starter users get 150 credits per day up to 500 per month. Professional Full seats include 3,000 credits per month, Organization Full seats 3,500, and Enterprise Full seats 4,250. Teams can buy extra credits or enable pay-as-you-go.
Does the Figma AI agent use credits in beta?
No. Figma AI states the on-canvas agent is free during beta and does not consume AI credits for prompts or actions. Standard credit usage will apply once the agent leaves beta, per Figma's pricing FAQs.
Can Figma AI connect to coding tools?
Yes. Figma AI includes an MCP server that links Figma to agentic tools such as Cursor, Claude, GitHub, and OpenAI. Agents can read frames, write back to the canvas, and Figma Make can open pull requests from a connected codebase.
What is Figma Make in Figma AI?
Figma Make is Figma AI's prompt-to-build surface for prototypes and web apps. You can start from Figma frames, PDFs, npm packages, or a local codebase, edit on a visual canvas, and ship changes back through a pull request.
Who can use Figma AI on a free plan?
Figma AI Starter is free with limited product access and 500 AI credits per month. Advanced agent, Make, and Dev Mode capabilities require paid Full, Dev, or Collab seats on Professional, Organization, or Enterprise plans.

