DesignScan

Name: DesignScan
Author: ms-zaman

作者：ms-zaman版本 0.4.0i★ –i在你的电脑上运行

注册名称io.github.ms-zaman/designscan

安装

概览

作者提供的说明（英文原文）

Extract a website’s design tokens (colors, type, spacing, shadows) as DESIGN.md, W3C, or CSS.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在你的电脑上运行
传输方式: stdio
分类: 设计、图片与音频

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
注册中心没有列出需要填写的密钥。

你需要

npm已安装 Node.js（用于 npx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "designscan": {
      "command": "npx",
      "args": [
        "-y",
        "@designscan/extractor",
        "mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add designscan -- npx -y @designscan/extractor mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "designscan": {
      "command": "npx",
      "args": [
        "-y",
        "@designscan/extractor",
        "mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "designscan": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@designscan/extractor",
        "mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 ms-zaman 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表

与“设计、图片与音频”中的其他服务器比较i

星标数多于此分类中其他 2751 个服务器的 0%
发布到注册中心的时间比此分类中其他 2751 个服务器的 11% 更新
基础检查结果等于或优于此分类中其他 2751 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

DesignScan 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

注册中心没有列出必需的密钥，不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端？

它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.4.0）于5个月前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它？

同一分类中有：Figma Context MCP, Claude Real Video, Figma MCP Server

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Figma Context MCP

作者：GLips

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

在你的电脑上运行★ 16,165MIT5个月前更新

安装

Claude Real Video

作者：HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

在你的电脑上运行★ 2,284MIT2个月前更新

安装

Figma MCP Server

作者：figma

The Figma MCP server brings Figma design context directly into your AI workflow.

在云端运行★ 2,15213个月前更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

DesignScan

URL → design tokens → DESIGN.md. Point it at any website and get a spec-compliant DESIGN.md file (YAML tokens + prose) that AI coding agents can read to match that site's look.

Preview

Every run can also emit a self-contained HTML proof sheet (--preview) that renders the extracted tokens — color roles, type specimens, spacing/radius scales, components — so you can eyeball the result before trusting it:

Notes for your coding agent

A DESIGN.md is always *consumed by an AI coding agent* (Cursor, Claude Code, …). So rather than run our own LLM to resolve semantic intent, every file ends with a Notes for your coding agent section: deterministic, per-extraction instructions computed from the actual tokens — heading hierarchy vs. a muted text color, sub-AA body contrast, brand-font fallback, the primary-button contract, shape/spacing rhythm. The reasoning stays on our side (no API key); the *application* happens for free inside the agent you already use.

It measurably changes the output. Below: the same stripe.DESIGN.md cloned by an agent that ignored the notes (left) vs one that followed them (right) — identical tokens, layout, and copy:

Brand corpus

A growing, curated library of real-brand specs lives in examples/ — each one a DESIGN.md, an HTML preview, and the raw token JSON, indexed in examples/README.md (visual gallery: index.html).

Rebuild it from the committed JSON with pnpm seed rebuild (no network), or add brands with pnpm seed add — degenerate / bot-challenged pages are skipped automatically so the corpus only holds trustworthy specs.

Monorepo layout

Path	What
`packages/extractor`	The extraction + generation engine (Playwright → tokens → `DESIGN.md`).
`packages/designscan`	The short npm name — a thin CLI shim over the engine (`npx designscan` ).
`examples/`	The brand corpus — `DESIGN.md` + HTML preview + token JSON per brand, with a gallery index.

Install (as a CLI / library)

The engine ships as the publishable @designscan/extractor package — a designscan CLI and a typed library — with designscan as its short npx alias.

# one-off, no install

npx designscan stripe.com --md --out stripe.DESIGN.md

or install the CLI

npm i -g @designscan/extractor npx playwright install chromium # one-time (the engine drives headless Chromium) designscan stripe.com --md --preview --out stripe.DESIGN.md

Quick start (from this repo)

This is a pnpm workspace (corepack enable to get pnpm).

pnpm install

pnpm --filter @designscan/extractor exec playwright install chromium # one-time

token profile (JSON) for any URL

pnpm extract stripe.com

generate a DESIGN.md (light theme by default)

pnpm extract stripe.com --md --out out/stripe.DESIGN.md

pick a theme: light (default) | dark | both

pnpm extract vercel.com --md --theme dark --out out/vercel.dark.DESIGN.md

both = bundle light + dark into one file (parallel *-dark tokens)

pnpm extract vercel.com --md --theme both --out out/vercel.DESIGN.md

--preview = also write a self-contained HTML proof sheet beside the file,

rendering every token (swatches, type specimens, scales, components) so you

can eyeball the extraction before trusting it (--theme both adds a Light/Dark toggle)

pnpm extract stripe.com --md --preview --out out/stripe.DESIGN.md

→ out/stripe.DESIGN.md + out/stripe.preview.html

--format = pick your output: json (profile) | md (DESIGN.md) | w3c | css

pnpm extract stripe.com --format w3c --out out/stripe.tokens.json # W3C Design Tokens (Style Dictionary etc.) pnpm extract stripe.com --format css --out out/stripe.tokens.css # CSS custom properties, paste-ready

(--theme both folds a genuinely distinct dark pass into every format)

--strict = exit non-zero if the result looks degenerate (bot challenge / too

few signals), for CI/automation that must not consume junk tokens

pnpm extract stripe.com --strict --quiet

seed / rebuild the curated brand corpus under examples/

pnpm seed add tailwindcss.com vercel.com # extract live + add to the corpus pnpm seed rebuild # regen md/preview/gallery from JSON

Scripts (root)

Script	Does
`pnpm extract [--format json\	md\	w3c\	css] [--theme light\	dark\	both] [--preview] [--strict] [--timeout ms] [--out f]`	Extract tokens in your format: profile JSON, `DESIGN.md` (`--md` shorthand), W3C Design Tokens, or CSS custom properties (`--theme both` = light + dark in one file; `--preview` = HTML proof sheet beside it; `--strict` = non-zero exit on a degenerate result)
`pnpm seed rebuild` / `pnpm seed add`	Build the brand corpus under `examples/` (md + preview + gallery; `add` extracts live)
`pnpm build`	Compile the publishable package (`tsc` → `dist`)
`pnpm typecheck`	Type-check all packages
`pnpm test`	Run the test suite (vitest)
`pnpm check`	Biome — format + lint (use `pnpm format` to auto-fix)
`pnpm lint:designmd`	Validate `examples/*.DESIGN.md` against the official spec

All of these run on every push/PR via GitHub Actions. The engine is consumable as a library through its public API (packages/extractor/src/index.ts).

Status

Step 1 — Extraction engine (Playwright → clean token profile)
Step 2 — Generator (token profile → spec-valid DESIGN.md, lint-clean)
Step 3 — HTML preview (--preview → self-contained token proof sheet, light/dark toggle)
[~] Step 4 — agent guidance. Each DESIGN.md now ships a Notes for your coding agent section: deterministic, per-extraction instructions (contrast, heading hierarchy, font fallback) so the consuming agent applies the tokens with intent — no LLM on our side. (Optional LLM-refined prose still future.)
[~] Step 5 — brand-seed library (pnpm seed, curated corpus + gallery) done; npx … add / checkout next

See packages/extractor/README.md for the full roadmap and engine details.

DesignScan

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“设计、图片与音频”中的其他服务器比较i

常见问题

替代选择

Figma Context MCP

Claude Real Video

Figma MCP Server

作者的 README

DesignScan

Preview

Notes for your coding agent

Brand corpus

Monorepo layout

Install (as a CLI / library)

or install the CLI

Quick start (from this repo)

token profile (JSON) for any URL

generate a DESIGN.md (light theme by default)

pick a theme: light (default) | dark | both

both = bundle light + dark into one file (parallel *-dark tokens)

--preview = also write a self-contained HTML proof sheet beside the file,

rendering every token (swatches, type specimens, scales, components) so you

can eyeball the extraction before trusting it (--theme both adds a Light/Dark toggle)

→ out/stripe.DESIGN.md + out/stripe.preview.html

--format = pick your output: json (profile) | md (DESIGN.md) | w3c | css

(--theme both folds a genuinely distinct dark pass into every format)

--strict = exit non-zero if the result looks degenerate (bot challenge / too

few signals), for CI/automation that must not consume junk tokens

seed / rebuild the curated brand corpus under examples/

Scripts (root)

Status