"A guide to UX/UI Design principles and resources" matching MCP servers:

🎨 AI-powered UI/UX design intelligence - 1519+ curated design resources through MCP | React, Vue, Next.js, Flutter & more

An MCP server for Arabic UI/UX design, offering tools to generate design tokens, build RTL components, stitch layouts, and audit RTL compliance using Material 3 Expressive and Google Stitch.

Enables AI agents to browse, search, and read a curated library of 198 UI/UX and animation design skills across 17 categories, distilled from 10 open-source projects, with a progressive 5-step workflow for guidance.

Provides comprehensive UI design assistance tools for LLMs, generating color palettes, typography, spacing systems, shadows, design tokens, and more via the MCP protocol.

An MCP server for auditing and analyzing user interfaces across 20 platforms based on 30 fundamental UX laws. It provides automated code detection, platform-specific checklists, and comparative analysis to optimize design usability.

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.

Web scraper and token compressor that converts HTML to clean markdown with 70-80% fewer tokens. Single-page compression and multi-page BFS crawling with auto-fallback fetch modes.

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.

Provides read-only access to over 100 UX/UI design checklists from Checklist.design, enabling users to search and retrieve design guidance for specific flows and screens. Runs locally without an API key.

Enables offline composition and validation of Basecoat UI interfaces in Astro and static HTML projects via curated templates, design resources, and static checks.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.

Imports public websites and extracts UI components and design tokens, making them available via MCP for AI coding agents to reuse in implementations.

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

Delegates frontend/UI refinement to Gemini via agy CLI, using iterative vision loops and diff-gating to realign UIs to design mockups without affecting backend code.

MCP server that lets AI agents search and inspect shadcn components from the encode-ui registry, returning metadata, source code, and install commands.

Provides AI agents with direct access to the Ray Group DeFi UX rubric, named patterns, and cognitive-bias glossary for grounded UX assessments of DeFi protocols.

Enables AI assistants to generate production-ready, professional UI design systems and components from simple descriptions, with real images, animated components, and automated quality checks.

Enables MCP clients to read design structure, take screenshots, create nodes, and edit UI directly on Figma canvas via a bridge between MCP and Figma Desktop.

MCP server for the coss ui design system, enabling AI agents to fetch components, props, and design tokens on demand for accurate, low-cost code generation.