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"Resources for UI Design" matching MCP servers:

  • ui-ux-pro-mcp

    redf0x1
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    license
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    maintenance
    🎨 AI-powered UI/UX design intelligence - 1519+ curated design resources through MCP | React, Vue, Next.js, Flutter & more
    Last updated
    7
    80
    24
    MIT

  • Primitiv

    AI-by-design
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    license
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    quality
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    maintenance
    Design contract layer for AI agents. Scans Figma, code, Storybook, and token files, reconciles conflicts, and serves a single machine-readable source of truth so every agent gets the same authoritative design rules before it builds. Local-first.
    Last updated
    6
    510
    17
    Apache 2.0

  • Design Inspiration MCP Server

    YonasValentin
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    Searches top design platforms like Dribbble and Behance to provide UI inspiration, color palettes, and layout patterns via the Serper API. It allows users to retrieve visual references, articles, and style guides directly within any MCP-compatible client.
    Last updated
    2
    4
    9
    MIT

  • xlsx-for-ai

    senoff
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    quality
    A
    maintenance
    50 tools and 400 functions for working with Excel/.xlsx spreadsheets — read/write, recalculate formulas, diff, repair broken references, and audit. Built for AI agents.
    Last updated
    50
    806
    4
    MIT

  • design-token-bridge-mcp

    kenneives
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    quality
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    maintenance
    Translates design tokens across platforms — extracts from Tailwind/CSS/Figma and generates native themes for Material 3, SwiftUI, and CSS variables with WCAG contrast validation.
    Last updated
    9
    106
    3
    MIT

  • ui-kit

    annondeveloper
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    license
    -
    quality
    C
    maintenance
    Native Claude Code integration for @annondeveloper/ui-kit — a zero-dependency React component library with 147 components, 3 weight tiers, physics-based animations, and OKLCH color system. Gives Claude deep awareness of the library's components, design patterns, and conventions. Includes 5 skills for component discovery, code generation, design system reference, tier selection, and accessibility
    Last updated
    55
    MIT

  • one-shot-ui

    TN0123
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    license
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    quality
    B
    maintenance
    Deterministic screenshot diffing for AI coding agents. Extract design tokens, diff implementations vs reference, get CSS fix suggestions.
    Last updated
    62
    4
    MIT

  • UIZZE

    uizze
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    license
    -
    quality
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    maintenance
    STOP UI SLOP. Gives coding agents searchable evidence from 800,000+ real web and iOS screens, design contracts, and a hard UI finish gate.
    Last updated
    1
    MIT

  • osv-ui-mcp

    toan203
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    quality
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    maintenance
    Visual CVE audit dashboard for npm, Python, Go, and Rust projects. Scans your project manifests (package-lock.json, requirements.txt, go.sum, Cargo.lock) against OSV.dev live data, opens a browser dashboard for human review, then applies fixes only after explicit confirmation. Supports multi-service monorepos in one command.
    Last updated
    4
    31
    4
    MIT

  • Prior — Knowledge Exchange for

    cg3inc
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    license
    A
    quality
    C
    maintenance
    Stop paying for your agent to rediscover what other agents already figured out. Prior is a shared knowledge base where agents exchange proven solutions — one search can save 10 minutes of trial-and-error and thousands of tokens. Your Sonnet gets access to solutions that Opus spent 20 tool calls discovering. Search is free with feedback, and contributing earns credits.
    Last updated
    5
    153
    3
    Functional Source , Version 1.1, ALv2 Future

  • GetABrain🧠 | Live Human-in

    Guitarmaniac24
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    license
    A
    quality
    B
    maintenance
    Real human judgment as agent tools -- an AI agent can ask a question and get back a structured, schema-validated JSON answer from a real quality-scored human. 16 response types (yes/no, ratings, rankings, A/B tests, sentiment, image/video/audio review, voice/video/photo capture). Fully programmatic signup with a $5 free trial credit, no card required.
    Last updated
    7
    251
    MIT