"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.

Ascii Art AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

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.

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 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-powered visual analysis of webpages for UI/UX assessment, including screenshot capture, element detection, accessibility auditing, and comprehensive JSON reporting.

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.

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.

Read-only MCP server exposing AI Room Design's image generation styles, pricing, FAQ, and official links to MCP-compatible clients like Claude Desktop, Cursor, and Windsurf.

Pixel art tools for local images: turn photos into pixel art with median-cut colours or palettes like PICO-8 and Game Boy, extract .gpl palettes, recolour sprites and upscale without blur.

Turns AI coding agents into visual creative assistants by providing a curated prompt gallery, prompt enhancement, and image/video generation via LemGen, with free inspiration tools and optional token-based generation.

Open-source MCP server for AI image and video creation, enabling prompt library search, prompt enhancement, and media generation from Claude Code, Cursor, and other MCP hosts.

Enables AI assistants to search design inspiration, generate and edit images and videos, use reference media, remove backgrounds, create product detail images and marketing posters, and access saved creative assets through remote OAuth or legacy local setups.

An MCP server that generates pixel-art PNGs from text prompts, using a free image backend, and saves them directly to your project directory.

Enables any MCP client to turn layered PSD artwork into game-ready Spine packages by inspecting and classifying layers, rigging with meshes, bones, weights, IK, physics and animation, applying procedural or After Effects-driven FX, and running runtime and mobile-budget validation with preview output. It finishes by exporting the final .spine, JSON and atlas assets so a model can drive a full art pipeline without hand-authoring rig data.

Enables agents to generate local SDXL pixel art assets from text prompts, run batch manifests, list generated assets, create spritesheets, and export Phaser atlas JSON through MCP tools.

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 AI agents to create and edit pixel art in a live Aseprite window, with tools for drawing, selection, transformation, and animation.

Generates print-resolution business posters (PNG/JPG) from a plain-language brief, using a design system derived from reference posters to lay out text, palettes, and images automatically.

Enables comparison of mobile app screenshots against design mockups, with Calorix as the first integration target.

Enables agents to commission and refine web pages, product prototypes, landing pages, decks, images, and motion through the desktop app, and to read design files, copy artifacts, and access design systems.

Enables AI assistants to convert CSS-animated SVGs into videos (MP4/WebM/MKV/MOV) and animated images (aPNG/GIF) with frame-accurate rendering and transparency support.

Reverse-engineers design videos and images into structured frontend implementation specifications using vision LLMs and FFMPEG for frame-level analysis.

Enables AI assistants to analyze design images for composition, color harmony, typography, and accessibility compliance with actionable recommendations.

Provides a native mobile design workflow for Claude Code and Codex, combining award/curated app reference research, bounded design-review evidence packets, and authored SwiftUI and Jetpack Compose motion recipes. It also helps agents organize briefs, annotate reference flows, and analyze transition frames so designs can be implemented and independently reviewed against real app evidence.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

Enables AI agents to remotely operate visual design tools via MCP protocol, with composable architecture for image processing, file operations, and workflow automation.

An MCP server that measures how faithfully one UI reproduces another, returning a score and actionable findings for improvement.

Turns a single image of an object into a textured 3D model (GLB with web-ready copy and six-view previews) on your own NVIDIA GPU, returning the written files and a preview. Runs locally as an MCP tool or, optionally, offloads the job to hosted GPUs with an API key.