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Figma MCP

Track :

Web Design

Course Presenter :

AI LABS

Lessons no : 22

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What will you learn in this course?
  • Master how to create and manage scalable UI modules like buttons and inputs in Figma using MCP methodology
  • Develop reusable components such as cards, forms, and headers to streamline design workflows in Figma
  • Construct complex UI patterns and full interfaces by combining modular components and design systems in Figma
  • Apply best practices for naming, organizing layers, and maintaining consistency within Figma design projects
  • Utilize Figma's features like variants, auto layout, and design tokens to enhance component flexibility and efficiency
  • Implement MCP principles to build organized, scalable, and collaborative design systems in Figma
  • Optimize design iteration speed and collaboration through effective component management and pattern creation in Figma
  • Create professional, consistent UI designs that support product scalability and user experience in Figma
  • Leverage Figma's tools to develop responsive, adaptable interfaces for diverse devices and workflows
  • Apply MCP methodology to real-world projects, improving design system consistency and team collaboration

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Lessons | 22


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Arya Ghose

good
2025-06-07

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Figma MCP , in this course we will learn about the MCP methodology in Figma, which stands for Modules, Components, and Patterns. This approach helps designers build scalable, organized, and reusable design systems. We’ll begin by understanding how to create and manage small UI modules like buttons and inputs, then combine them into components such as cards, forms, and headers. From there, we’ll explore how to construct complex UI patterns using these components to design full interfaces and workflows. You’ll also learn best practices for naming, organizing layers, and using Figma's powerful tools like variants, auto layout, and design tokens. Whether you're a solo designer or part of a large product team, this course will guide you in building efficient, professional design systems that support collaboration, consistency, and rapid iteration. By the end, you’ll be equipped to apply MCP in real-world projects and elevate your design process. AI LABS