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"Modern Website UI & UX Designs" matching MCP servers:

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    🎨 AI-powered UI/UX design intelligence - 1519+ curated design resources through MCP | React, Vue, Next.js, Flutter & more
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    MIT
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    Provides professional UI/UX design expertise and frontend development tools for analyzing interfaces, generating design systems, and creating modern components with accessibility and best practices built-in. Supports React, Vue, Angular and other frameworks with seamless Claude Code CLI integration.
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    Enables comprehensive UI/UX development workflows through integrated tools for component development with Storybook, Tailwind CSS styling, Framer Motion/GSAP animations, Playwright testing, and automated design system generation. Provides end-to-end automation for visual regression testing, accessibility compliance, and UX optimization analysis.
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    A TypeScript server that enhances AI assistants' capabilities when working with Starwind UI components, providing tools for project initialization, component installation, documentation access, and more.
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    MIT
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    Bidirectional MCP bridge enabling AI assistants to draw UI on Figma canvas and read designs back as structured data or code tokens via localhost, requiring Figma Desktop.
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    MIT
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    Provides Japanese UX conventions as an MCP server to help AI generate correct Japanese UI elements like proper name order, furigana, phone formats, and polite language. It includes tools for form generation, validation, keigo suggestions, and cultural adaptation for developers building Japanese-facing products.
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    Provides comprehensive UI design assistance tools for LLMs, generating color palettes, typography, spacing systems, shadows, design tokens, and more via the MCP protocol.
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    Enables UI debugging on physical iOS devices by bridging to an in-app DebugBridge HTTP service, supporting UI inspection, element interaction, log retrieval, and runtime validation.
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    MIT
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    An MCP server that provides comprehensive UX best practices covering accessibility, usability, UI patterns, design systems, performance, and more, enabling clients to analyze and generate UX-optimized code and recommendations.
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    Enables AI assistants to present multiple UI component designs in a browser for visual selection, with AI-powered design generation using MiniMax-M2.1 from natural language prompts or manual HTML input.
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    MIT