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Health: ActiveRecent health check succeeded.Last checked 10/14/2026, 7:47:27 PM

Dembrandt

InstallableWe know how to install it, but have not yet seen it complete a handshake. User RatingsBe the first to rate and review this MCP server!
View Repository3.6k GitHub StarsTotal stargazers on GitHub for the source repository (3,642 stars).Visit Website
design-tokensweb-analysisdeveloper-toolsmcp

Extracts design tokens from rendered websites and exposes analysis tools through MCP.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag โ€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "dembrandt": {
      "command": "npx",
      "args": [
        "-y",
        "without"
      ]
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives๐Ÿ’ป More in Developer Tools

Overview

Dembrandt MCP server extracts design-system data from live websites by rendering pages in Chromium and inspecting computed DOM styles. It provides MCP tools for tokens, palettes, typography, components, surfaces, spacing, brand identity, drift analysis, and report generation. Use it when an agent needs to inspect an existing site, compare implementations with a baseline, or produce token and design documentation. Authenticated pages, mobile views, dark mode, WCAG analysis, and multi-page crawls are supported through tool options.

Use cases

โ€ขExtract design tokens from a live website
โ€ขCompare a preview deployment with a design baseline
โ€ขAudit rendered color pairs for WCAG contrast
โ€ขGenerate DTCG tokens or AI-oriented design documentation
โ€ขInspect authenticated, mobile, or dark-mode page variants

Key features

โ€ขRendered DOM design-token extraction
โ€ขFocused palette, typography, spacing, and component tools
โ€ขBaseline drift and findings analysis
โ€ขDTCG, design-document, and report generation
โ€ขAuthenticated, multi-page, mobile, and dark-mode analysis

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Dembrandt.

Extracted Tool Capabilities
Rendered DOM design-token extraction
Focused palette, typography, spacing, and component tools
Baseline drift and findings analysis
DTCG, design-document, and report generation
Authenticated, multi-page, mobile, and dark-mode analysis

How Dembrandt works

What Dembrandt MCP server does

Dembrandt MCP server gives MCP-compatible agents access to design-system analysis for live websites. It examines rendered pages rather than relying only on source files, then extracts information such as colors, semantic roles, typography, spacing patterns, borders, shadows, motion, components, breakpoints, icons, and detected frameworks.

The server is suited to reverse-engineering an existing interface, reviewing a preview deployment, or creating artifacts for a design-system workflow. Its output can include design tokens, color palettes, typography details, component styles, surface information, spacing, brand identity, and generated reports.

How it works

A request causes Dembrandt to drive Chromium through Playwright. The browser renders the target page, while the analysis reads computed styles from the DOM, studies color usage and confidence, groups related typography values, and identifies recurring spacing patterns.

Extraction tools accept options for slow or heavy sites, mobile viewports, dark mode, WCAG contrast checks, cookies, cookie files, HTTP Basic Authentication, extra request headers, custom user agents, and sandbox control. Multi-page analysis is available through page crawling or sitemap discovery. Interactive sign-in remains a command-line-only feature rather than an MCP operation.

The Dembrandt MCP server also exposes analysis functions that work with extracted data, including drift computation, findings, DTCG export, design-document generation, and report rendering. Job-control tools are available for managing longer-running work.

Setup and configuration

Install the server through npm and run it with the stdio command npx -y dembrandt mcp. The same command can be placed in a project's .mcp.json, or added with the Claude Code command-line configuration. Cursor and VS Code installation links are provided by the project, and the server is registered as io.github.dembrandt/dembrandt in the MCP Registry.

The underlying browser must be installed before extraction. Run dembrandt install-browser once after installing the package, or run npx dembrandt install-browser when using npx. Node.js 18 or newer is required. The browser is stored in the shared Playwright cache.

Tools and capabilities

Named tools include:

  • get_design_tokens for broad design-token extraction.
  • get_color_palette, get_typography, get_component_styles, get_surfaces, get_spacing, and get_brand_identity for focused analysis.
  • compute_drift and get_findings for inspecting changes and analysis results.
  • export_dtcg, generate_design_md, and render_report for producing structured or human-readable outputs.

The server can inspect authenticated pages when suitable cookie, storage-state, Basic Auth, or header options are supplied. It can also request WCAG contrast information and analyze dark or mobile variants.

Limitations and notes

The browser installation step is mandatory because playwright-core does not include browser binaries. Skipping it prevents the server from launching its browser engine. Results describe observed rendered styles and patterns; they are not a guarantee that a site has an explicit or complete design-token source.

Interactive login is supported only by the CLI. For repeatable or CI-oriented access, save browser storage state after signing in and reuse it as a cookie file. The --stealth option is documented for authorized use only. Heavy sites may need the slow setting, and Docker or many CI containers may require the no-sandbox option.

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

GitHub stars
3.6k
Stargazers on the source repository.
Last commit
3d ago
Most recent push to the default branch.

Reviews

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Frequently Asked Questions about Dembrandt

Dembrandt is an MCP server that connects AI agents to live websites through a Chromium-rendered page analysis workflow. Its main tools extract design tokens, color palettes, typography, component styles, surfaces, spacing, and brand identity, with additional tools for drift analysis, findings, DTCG export, design documentation, and reports.

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Technical Specs & Signals

Category๐Ÿ’ปDeveloper Tools
More technical detailsExpand โ–พ
TransportSTDIO
RuntimeNode.js
ClientsClaude Desktop, Cursor, Cline / VS Code, Windsurf, Claude Code, VS Code (GitHub Copilot), Zed, OpenAI Codex CLI, Gemini CLI, JetBrains AI Assistant, Roo Code, Continue, LM Studio
Last updatedOct 14, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars3,642
GitHub Star CountTotal stargazers on GitHub representing community popularity (3,642 stars).
Last commit3d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 11, 2026
48Quality signal: Fair ยท 48/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity10/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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