Figma Make

Make works as an MCP client with 21 verified connectors, among them Notion, Asana, Atlassian, GitHub, Linear, Slack, Box, Amplitude, Hex, monday.com, Twilio and Zapier, each signed in through the outside tool's OAuth, and write tools such as creating Jira issues or Notion pages can be turned on per connector. Paid plans add custom MCP connectors, which organizations can publish for their members, and an app can be wired to a Supabase project or a Payload backend that holds private API keys and secrets. npm packages bring a team's component libraries into the generated code.

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Plan mode reads the project, its code and any attached designs, writes a structured plan to plan.md that can be edited or revised in chat as often as needed, and executes it when the builder clicks Build. Asked for an app that stores data, Make designs the data model, creates the Payload collections, seeds sample records and builds the interface with sign in and an admin panel. More than one chat can run at once in a single Make file, so a new change can start while another is still generating.

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Prompts can carry attached Figma frames and components, images, videos, audio, text files and PDFs, plus Community content. Make kits sync a team's npm packages, library variables and styles and written guidelines so generated code uses the real design system, and a guidelines.md file sets rules for each project. Connectors pull PRDs, tickets and research from Notion, Confluence, Asana, Linear, Dovetail and others and can be rerun when the source changes, while web search with citations and web fetch bring in public pages.

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Plan mode holds generation until a person approves the plan with Build, and when a prompt needs a connector, Make names the connector and tool it will call and waits for Run, with write tools enabled per connector in its settings. Admins can turn AI, connectors and website publishing off for a team or organization, the Review tab shows each change as additions and deletions, and code edits create checkpoints that revert to the last conversation step. A published app changes only when someone pushes an update live.

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Figma holds SOC 2 Type 2 and SOC 3 reports, ISO 27001, 27017, 27018 and 27701 certification, ISO 42001 for its AI management system, FedRAMP authorization, C5 and TISAX. Enterprise adds SCIM seat management and Governance+ controls for access, sharing and compliance, and admins decide whether AI features and content training are on for their team or organization. Verified connectors are vetted against Figma's security and privacy standards, and shared Makes can be protected with a password.

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Version history records every AI and manual edit in a Make, the Review tab shows the code each prompt changed, and hovering under a finished prompt shows the AI credits it consumed. Admins see credit use across the plan in an AI credits dashboard, with people at their limits and reset dates, and Enterprise organizations get an AI Usage API. Published apps carry no built in analytics, though a Google Analytics ID or other snippets can be added in settings.

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Make kits, guidelines and custom skills persist outside any single chat: a kit can be attached to new Makes across a team or organization, and skills package frequent workflows as reusable instructions. Version history keeps every AI and manual edit so earlier states can be previewed, favorited or restored, and conversations stay in the file for collaborators who open it. Make keeps no learned memory of a person's preferences beyond those saved kits, guidelines and skills.

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Enterprise organizations can keep Figma Make files at rest in the EU, Australia, India or Brazil through Figma's data residency option on AWS, though anything published to the web falls outside it. Apps publish to a figma.site address or a custom domain, on AWS with Cloudflare routing, and organization admins can turn publishing off. Code can be downloaded as a zip, and Make on a local codebase, which opens a GitHub repository and pushes branches and pull requests, is still a closed beta.

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Templates turn a polished Make into a starting point that teammates across a team or organization can use under the guidelines its author sets, and the Figma Community holds Makes to remix along with skills that can be installed. Make kits package a design system as reusable AI context, organization admins can manage kits for everyone, and example prompts such as an onboarding flow, a data dashboard or a gradient gallery start a new Make in one click.

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Work begins in the chat of a Make file in the browser or desktop app, typed or dictated by voice, with frames pasted in from Figma, and annotations or markups drawn on the preview can be sent together as one prompt. Makes can also be opened and built on a phone, where they run natively and comments can be answered in context. Nothing starts Make on a schedule, from a chat channel or from an outside event; each change begins with a person in the file.

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A model selector in the chat lets the builder switch at any time between the default model and GPT, Claude and Gemini models from OpenAI, Anthropic and Google, and each file reopens with the last model chosen. Each model has its own credit pricing, and some features depend on the choice: plan mode and web search work with the default and Claude Opus models but not on Gemini. The default model changes over time as Figma updates it.

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The Figma MCP server, remote at mcp.figma.com/mcp or local through the desktop app, lets outside coding agents gather code resources from Make files as context for production work, alongside design context from Figma Design and FigJam and writing back to the canvas, with Figma skills guiding those workflows. No API or MCP tool creates a Make, prompts it or puts it live from outside, so building stays in the Make chat.

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Every Make can be tried in a full screen preview or on a phone and adjusted with the point and edit tool, and comments collect teammates' feedback right on the prototype. Connectors to Sprig and Amplitude let teams run studies and track design variants against real users, and a Make kit is checked by prompting a test build and looking for drift from the design system. Make does not write or run tests on the app it builds, and fixes go back through the chat.

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Web fetch retrieves the full content of a public page, such as a documentation site or brand guidelines, and web search finds current examples, so Make can apply what it reads to the app; pages behind a login or anti scraping protection are out of reach. That reading of public pages is the extent of it: no agent clicks through sites, fills in forms or operates a desktop, and the Browser tab previews only the app being built.

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