Use This MCP server To

Download and analyze websites for UI/UX inspiration Extract and analyze design patterns from web content Automate generation of design briefs from inspiration sources Facilitate seamless handoff of design specs to developers Integrate multiple MCP servers for end-to-end design workflow Use AI to identify UI components and suggest improvements Streamline collaboration between designers and developers Generate style guides and component documentation automatically

README

UI/UX Design Automation Suite with MCP

An end-to-end Model Context Protocol (MCP) solution that streamlines the entire UI/UX design workflow - from gathering inspiration to development handoff. This suite integrates multiple specialized MCP servers to automate and enhance the design process through AI assistance.

🎯 Vision

Our goal is to create a seamless, AI-powered workflow that supports UI/UX designers throughout their entire design process, from initial inspiration to final handoff to developers. By leveraging the power of Large Language Models through MCP servers, we're building a comprehensive solution that makes design work more efficient and consistent.

🌟 Features

1. Design Inspiration (inspire-mcp)

Download and analyze existing websites for UI/UX inspiration
Capture complete HTML content with inline CSS and resources
AI-powered analysis of design patterns and components
Detailed Documentation

2. Figma Design Integration (design-mcp)

Direct interaction with Figma designs through API
Extract design information from Figma files
Create and update designs via Figma plugin
Support for both readonly and write modes
Detailed Documentation

3. Development Handoff (handoff-mcp)

Convert Figma designs to React components
Generate TypeScript code with Tailwind CSS
Extract and transform Figma components
Automated accessibility enhancements
Detailed Documentation

🔄 Workflow

Inspiration Phase
- Gather inspiration from existing websites
- Analyze UI patterns and components
- Store reference materials
Design Phase
- Create designs in Figma
- Utilize AI assistance for design decisions
- Manage components and styles
Development Handoff
- Convert Figma designs to React components
- Generate responsive layouts
- Implement accessibility features
- Create development-ready code

🚀 Getting Started

Each component of this suite has its own detailed documentation. Please refer to the individual README files in each project directory for specific setup and usage instructions:

inspire-mcp - Web UI Inspiration Tool
design-mcp - Figma Integration Server
handoff-mcp - Figma to React Converter

🛠️ Prerequisites

Node.js 18 or higher
Figma account and API token
Access to Claude or Cursor IDE for AI assistance

🔜 Roadmap

This project is actively under development. Upcoming features include:

Unified configuration management
Integrated workflow automation
Enhanced AI-powered design suggestions
Design system generation
Automated style guide creation
Component library management
Design version control integration

📝 Note

This is a work in progress, and we're continuously improving and expanding the capabilities of this suite. Each component is currently maintained separately with its own documentation, but we're working towards a more integrated experience.

📄 License

ISC

Built with ❤️ for designers who love automation

MCP-Stack-for-UI-UX-Designers FAQ

How does MCP-Stack-for-UI-UX-Designers integrate with existing design tools?

It connects with popular design tools like Figma and web resources via MCP servers to streamline workflows.

Can this MCP server handle both inspiration gathering and development handoff?

Yes, it covers the full UI/UX workflow from inspiration analysis to developer handoff.

Is AI used to analyze design patterns in this MCP server?

Yes, it leverages AI and Large Language Models to analyze UI/UX design patterns and components.

What kind of data does the inspiration module capture?

It captures complete HTML content, inline CSS, and resources from websites for detailed analysis.

Can this MCP server improve collaboration between designers and developers?

Yes, by automating handoff and generating clear design documentation, it enhances team collaboration.

Is this solution customizable for different design workflows?

Yes, the modular MCP server architecture allows customization to fit various UI/UX processes.

Does it support real-time updates during the design process?

The MCP protocol supports real-time context sharing, enabling dynamic updates throughout the workflow.

What AI models are compatible with this MCP server?

It is provider-agnostic and works with models like OpenAI, Anthropic Claude, and Google Gemini.