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    Converts any rendered web page into a complete, LLM-readable design specification—including block screenshots, distilled computed CSS, design tokens, responsive deltas, and alpha-channel-analyzed assets—so models can accurately reproduce the design.
    MIT
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    AI-native design engineering platform that converts Figma or live websites into a semantic design graph for code generation, and generates Figma designs from prompts with a self-improving director loop.
    28
    182 npm
    80
    MIT
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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.
    26
    4
    21
    MIT
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    Enables assistants to discover, search, and extract real design systems — palettes, type scales, spacing, surfaces, and do/don't guidance — from the public style pages of styles.refero.design. It reports index coverage with every search and renders matched styles as structured design.md sections or parsed JSON tokens.
    6
    38 npm
    1
    MIT
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    Enables evidence-grounded web design analysis by searching GDWEB references and generating isolated, per-reference DESIGN_INDEX specification documents for LLM-driven frontend development.
    5
    55 npm
    MIT
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    MCP server that scrapes Terminal Trove to search CLI/TUI tools and retrieve design references like screenshots and install commands for agentic UI research.
    12
    MIT
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    Provides AI agents with a visual design inspiration loop from award-winning websites, including natural-language search, inline screenshots, and detailed design DNA extraction. Also supports optional live page capture, structure analysis, and motion recording for design verification.
    41
    5,062 npm
    406
    MIT
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    Web design analysis MCP server with 20 tools for layout extraction, motion detection, quality scoring, and semantic search. Uses Playwright, pgvector HNSW, and Ollama Vision to turn web pages into searchable, structured design knowledge.
    27
    2
    AGPL 3.0
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    A Model Context Protocol server that analyzes webpage design structures, providing detailed layout, navigation, content, form, image, and link information from a given URL.
    1
    6
    Apache 2.0
  • A
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    maintenance
    Extract design tokens, colors, typography, spacing and components from any live website, and compute design drift against an approved baseline. Exports DESIGN.md, DTCG, Tailwind and shadcn.
    8,776 npm
    3,943
    MIT
  • A
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    maintenance
    An MCP server for web intelligence extraction that provides 55 tools for extracting structured data, design systems, accessibility audits, and more from websites.
    65 npm
    3
    MIT
  • A
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    maintenance
    MCP server for the MiroMiro design-extraction API. It extracts real design data from live websites—including brand colors, fonts, tokens, SVGs, images, and component code—so AI agents can build from actual values.
    370 npm
    MIT
  • A
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    Open-source technical SEO crawler MCP server built on LibreCrawl. Runs full audits inside Claude, Cursor, or Codex — 50+ checks (hreflang, schema.org, security headers, WAF detection on 200-OK pages), chunked-progressive engine for large sites, ephemeral by design (server forgets every audit after download).
    47
    MIT
  • A
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    Enables browsing and reading curated design and photography feeds, as well as fetching any RSS/Atom/RDF feed with robust fallback.
    14 npm
    MIT
  • A
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    Provides live Awwwards design specifications—palette, typography, layout, and motion—as structured JSON tokens that Lovable or any MCP client can use to generate or restyle projects on demand.
    5,062 npm
    MIT
  • A
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    Enables AI assistants to extract design systems, brand guidelines, copy, and sitemap structure from any live website via the Pastebase API.
    MIT
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    A
    maintenance
    Enables agents to turn web pages into sectioned, token-counted Markdown and read only the chunks needed, with tools for outlines, manifests, splits, and design-token extraction.
    MIT
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    Turns any URL into structured web intelligence in one call: SEO/OpenGraph metadata, public contacts, tech-stack fingerprinting, Schema.org data, a security-headers audit, and clean AI-ready Markdown. Anti-SSRF hardened by design.
    10
    MIT
  • A
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    C
    maintenance
    Enables coding agents to search and retrieve real production websites, their design systems, and reference components over MCP, so they can study design patterns before writing UI.
    951
    MIT
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    maintenance
    Enables AI assistants such as Claude, ChatGPT, Cursor, and Claude Code to run 25+ specialized SEO checks on any URL, generate XML sitemaps and robots.txt files, extract brand design elements, and audit technical SEO, content quality, mobile responsiveness, and security.
    MIT