"A server to support AI with UI/UX using state-of-the-art libraries and design patterns" matching MCP servers:

MCP server for ingesting UI screenshots, Figma MCP node JSON, or hybrid Figma-plus-screenshot sources into a cross-platform design-to-code artifact pipeline.

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 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.

Gives MCP clients access to a registry of elite UI patterns, components, and motion configs with real, copy-pasteable React/TSX implementations.

Enables AI coding agents to create, draw, and refine Aseprite documents through deterministic canvas, layer, frame, tag, and palette tools, with pixel analyzers, style validation, and preview/diff visual feedback. It also supports spritesheet and animated GIF export, producing multi-layer game-ready assets.

Enables AI assistants to handle customer support by looking up order status, semantically searching knowledge bases, and creating support tickets through MCP tools, with grounded answers and automated evaluations.

MCP server for AI-native L1 support: triages tickets, answers from a knowledge base, escalates to L2 via Telegram/GitHub, and manages feedback, with a LangGraph workflow and safety guardrails.

Transforms basic interface ideas into comprehensive, professional-grade UI/UX design specifications with detailed styling, animations, components, and accessibility requirements for websites, apps, and other digital interfaces.

Exposes the 23 Gang of Four design patterns to AI coding agents for generation, canonical examples, AST-based detection, validation, and anti-pattern refactoring in Python codebases.

Provides mobile UI/UX design intelligence tools for Flutter and React Native, enabling app research, palette extraction, WCAG contrast audits, touch target validation, tech stack detection, and generation of icons, splash screens, and theme code.

Search, inspect and install the 21 free MIT components of Marvelous UI (framework-agnostic Web Components and CSS) and their design tokens into a project. Runs locally over stdio with no network calls.

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.

A local MCP server for AI image generation using ComfyUI, Claude Code, and OpenClaw, with a built-in library of over 1,300 prompts for private, fast image creation.

Provides design capabilities including requirement analysis, visual token extraction, design generation, and visual auditing.

A small MCP server that stores and retrieves compact decision-relevant state (goals, constraints, facts, decisions) outside the chat context, enabling easy retrieval for Claude Code or Codex.

Provides intelligent design pattern recommendations using semantic search through a comprehensive catalog of 200+ patterns across 20 categories. Users can describe programming problems in natural language to discover appropriate design patterns with contextual recommendations.

A stateless MCP server for AI film and video production that tracks project state, shot status, and updates, enabling consistent characters and continuity across generative video tools.

Enables AI clients to list, inspect, triage, and update support tickets via MCP tools, with a mocked dataset designed for swapping in real ticket sources later.

Graph-native bounded working memory for coding agents with typed memories, causal retrieval, current-vs-stale state queries, and compact small-model briefs.

Enables AI assistants to securely triage SuperOffice CRM support cases by retrieving tickets, running database diagnostics, searching knowledge bases, and orchestrating cross-system incident investigations.

A local web interface and MCP server for converting documents (PDF, Word, Excel, images, audio, etc.) to Markdown using Microsoft's MarkItDown library.

Enables validating, simulating, and analyzing finite state machines via MCP tools for step execution, path finding, and schema inspection.

Pattern-intelligence MCP server for ServiceNow Discovery that enables AI agents to read, search, validate, author, surgically edit, and reason about Discovery patterns, including NDL grammar, SNMP OIDs, data sources, and emulator blueprints.

Enables agents and Blender users to generate game-ready art through a set of Blender tools covering concept image generation, image-to-3D mesh creation, mesh cleanup, PBR material assignment, greybox level layout, camera pathing and still or sequence rendering. Every action runs headless Blender, returns machine-readable JSON with pass/fail self-checks such as triangle budget, scale, pivot and clearance, so agents can verify and fix each step unattended.

Provides React design and rendering patterns from patterns.dev as MCP tools and resources for Claude Code.

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.

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.

Provides MCP tools to search, retrieve, and answer questions from the public Open Finance Brasil Confluence documentation using BM25-based local indexing.

Enables Claude and other MCP clients to create and edit vector artwork inside a running Graphite editor, turning SVG into fully editable native layers and supporting export, styling, transforms, selection and layer management. Every operation is delivered as a regular editor message, so undo, selection and the Layers panel behave exactly as with manual edits.

Enables coding agents to see the UI they just changed without flooding their context window, returning a structured text summary (console errors, failed requests, overflow, layout shifts, accessibility violations) plus small crops of only the regions that changed since the last capture. All output is fitted into a chosen token budget, with captures stored on disk and evicted automatically.