Community Figma MCP server

Key Features

• •Create Components from Prompts: Generate UI components like input fields, passwords, and buttons by simply describing them in natural language. The server creates components with customizable properties such as labels and placeholders, automatically applying auto-layout for responsive sizing, saving hours of manual setup.
• •Assemble Complex Forms: Combine multiple components into complete forms with a single prompt. For example, create a login form with email/password fields and action buttons. The server respects component instances and auto-layout, ensuring the result is a structured, developer-friendly design ready for further refinement.
• •Multi-AI Assistant Compatibility: Connect your preferred AI assistant—ChatGPT, Claude Desktop, Cursor, Windsurf, or any MCP-compatible client. This flexibility allows teams to stick with their existing AI tools while gaining the ability to edit Figma documents directly, streamlining design workflows.
• •Undo and Redo All Actions: Every AI-performed edit is reversible within the same document context. Non-destructive operations give designers peace of mind to experiment freely, as any unwanted change can be undone instantly without affecting the original design.
• •Auto-Layout and Property Control: Components are created with auto-layout enabled, allowing widths to grow based on content. Properties like labels, placeholders, and titles are fully customizable, resulting in reusable, responsive design elements that maintain consistency across the project.
• •WebSocket-Based Real-Time Communication: The server uses a WebSocket and polling architecture to communicate with the Figma plugin inside the sandbox. This ensures that AI actions are executed and results returned in real time, providing a seamless interactive experience within Figma.
• •Free and Open Source: The entire server code is available on GitHub under an open-source license. There are no licensing fees, and users can modify, extend, or contribute to the project. All that's needed is a subscription to an AI assistant supporting MCP servers.

Use Cases

• •Rapid UI Component Generation: A designer needs a set of base UI components for a new project. By describing inputs, labels, and buttons in natural language, the AI creates them with properties and auto-layout, cutting initial setup time from hours to minutes.
• •Form Layout Creation: A product team wants to create a login form for a prototype. Using the server, they prompt the AI to assemble a form from pre-made components, resulting in a properly structured, responsive layout ready for user testing.
• •Design System Standardization: A design system manager uses the AI to generate consistent components across multiple documents. The server's property-based creation ensures all buttons, inputs, and labels adhere to predefined standards, reducing manual updates.
• •Vibe Design Iteration: A 'vibe designer' explores multiple layout variations by asking the AI to rearrange elements, adjust spacing, or add new sections. The undo feature allows quick backtracking, fostering creative experimentation without the risk of breaking the design.
• •Developer-Designer Handoff: A front-end developer collaborates with a designer by using the AI to create developer-friendly components with auto-layout and proper properties. This minimizes friction during handoff, as the design is already structured for code implementation.

Who is this for?

UI/UX designers seeking to automate repetitive tasks; product designers who want to iterate faster using AI copilots; front-end developers looking for design-to-development workflows; design engineering teams integrating AI into their Figma process; and any professional using Figma who wants to boost productivity with AI assistants like ChatGPT or Claude. The server is ideal for teams that already have an MCP-compatible AI tool subscription and want to extend its capabilities to edit Figma documents directly.