AI Tools That Turn a Figma Design Into Code

There's no single AI tool that reliably turns a Figma design into finished code — Figma has two different AI routes of its own, and several outside vendors each convert designs to code their own way, with different frameworks, different review requirements, and different amounts of work still left for a developer. This guide covers what each one actually does, sourced only from its own documentation, so you can pick the route that matches the job rather than assuming any of them are a finished handoff.

What does Figma's own MCP server do?

The Figma MCP server connects a coding agent — Claude Code, Cursor, VS Code, and others — directly to a Figma file's structure over the Model Context Protocol, so the agent can "explore and implement designs quickly and accurately" instead of guessing from a screenshot (Figma Help, "Guide to the Figma MCP server", checked September 2026). In practice, that means the agent can "Generate code from selected frames" and "Pull in variables, components, and layout data directly into your IDE" — you select a frame, copy its link, and prompt your agent to build from that context rather than a static image.

Access is split by how you run it: the same guide says "The remote server is available on all seats and plans. The desktop server is available on a Dev or Full seat for all paid plans." Figma is direct that the newer write-back capability (letting an agent create and modify content on the canvas, not just read it) is still an early feature: it "will eventually be a usage-based paid feature, but is currently available for free during the beta period." What framework and styling approach comes out is a function of your prompt and your coding agent, not a fixed Figma default — you have to tell it you want React, or Vue, or whatever your project uses. Figma to React: The Real Ways to Get There covers this route in more depth, alongside Code Connect, which maps the MCP server to your actual component library instead of generating fresh code from scratch.

How is Figma Make different from the MCP route?

Figma Make solves a different problem. Where the MCP server helps a coding agent write code for your own project, Figma Make generates a self-contained, functional app or prototype inside Figma itself, optionally starting from an existing design so the output follows your layout and styles. What Is Figma Make covers Make's publishing, credits, and GitHub export in full detail — the short version for this comparison is that Make produces a new, Figma-hosted project whose code you can download as a .zip file or push to a GitHub repository that Make creates for that file (Figma Help, "Beyond the basics: Using Figma Make", checked September 2026), rather than code inserted into a repository you already control. (Figma also runs a closed beta for using Make inside an existing codebase, open to a limited number of users.) If your job is generating a new working app from a prompt or design, Make is the more direct route; if it's writing code inside your existing codebase with the Figma file as reference, the MCP server plus a coding agent is the one built for that.

What do outside AI converters actually produce?

Several products convert a Figma file to code independently of Figma's own tools, each described here only from its own page, with no ranking between them:

Anima frames its product around direct conversion: "Turn design to code and refine with AI. Export clean HTML/CSS code or publish instantly," with output options listed as "HTML / CSS, React, Vue, Tailwind, shadcn, TypeScript, JavaScript, Next.js, and more" (Anima, "Figma to HTML & CSS", checked September 2026). Anima describes the result as "clean, semantic, and responsive code that's ready for production or rapid prototyping," and for a multi-screen prototype it generates "responsive, linked pages with working navigation."

Locofy describes itself as converting Figma designs "to React code in a flash," using what it calls Large Design Models to produce "component-based React code," with data binding for dynamic content (Locofy, "Figma to React", checked September 2026). Locofy's own page is unusually direct about the limits of Figma-to-React conversion in general: "While tools can generate the UI, adding functionality is still a manual step for developers. This involves implementing state management, handling events, and connecting to a back-end." Its FAQ also lists as a con of Figma-to-React converters that "Generated code may not always be clean or production-ready," and says their output "often requires manual refinement" — a useful baseline expectation for any converter in this category.

Builder.io takes a different fork entirely: its Figma plugin produces two distinct outputs, not one. Per its own docs, you can "Transform your Figma designs into customizable content in your Builder Content Space, or generate code from your design through a Builder Code Space using Projects or the command line" (Builder.io, "Builder Figma Plugin", checked September 2026). That means the same import can become structured, editable content rather than code at all — worth knowing if what you actually want is a CMS-style entry, not a repository of files.

v0 ties its Figma import to its own paid-plan generation workflow, not a standalone converter: "The Figma integration is available on paid v0 plans," and once connected, you "Paste a Figma link into v0 and turn the design into a working app" — v0 says it will "read the full file, find the right pages and frames, and build them as one flow" (v0, "Figma", checked September 2026). Its stated inputs are specific: design tokens and colors from variables and styles, layout and exact text per frame, exported icons/logos/images, component and style names for consistency, and any Dev Mode links to code, Storybook, or docs. That's a broader read of the file than a single-frame export, but it's gated to v0's paid tiers and its own app-generation model, not a general-purpose code export.

What code do you actually get, and what still needs a developer?

None of these routes is a finished, unattended handoff. Even a converter vendor, Locofy, lists "Generated code may not always be clean or production-ready" among the cons of Figma-to-React tools. Treat every row in that table as a draft to review, not a merge-ready result, the same discipline covered in Building a Website From Figma With a Coding Agent, which walks through a full review and comparison process for AI-generated design-to-code work.

Which route should I actually use?

• You're writing code inside a codebase you already maintain, and want your coding agent to see the real design instead of a screenshot. Use the Figma MCP server, and add Code Connect if you already have a component library you want it to reference instead of generating fresh code.
• You want a new, working app or prototype from a prompt or design, and don't mind it living in Figma's own project format until you export it. Use Figma Make.
• You want a fast, standalone draft in React, HTML, or another framework, outside Figma's own tooling entirely. Anima or Locofy both do this from their own plugins — review the output against the checklist above regardless of which you try.
• You want structured content rather than code at all. Builder.io's Content Space path is built specifically for that fork.
• You're already building in v0's ecosystem. Its Figma import reads more of the file's context than a single-frame export, but only on a paid plan.

Where does Figment fit into this?

Nowhere in this specific comparison — Figment doesn't generate code from a Figma design with AI. Figment's plugin publishes a selected Figma frame as a hosted website, and its AI editor, public now, edits a separate static copy of an existing site; neither one hands you code generated from a Figma design. If the job is genuinely turning this design into code with AI, one of the routes above is the honest answer, not us.

Bottom line: Figma's own MCP server and Figma Make solve two different problems — writing code into your project versus generating a new app — and outside converters like Anima, Locofy, Builder.io, and v0 each produce a different shape of output with different gaps. None of them replace a developer's review; pick based on whether you need code in your own repository, a standalone new app, or structured content, and read the generated result the same way you'd read any other AI-written code before you ship it.