Designesy

Name: Designesy
Author: LE-VAI

by LE-VAIversion 1.13.10i★ –iComputer or cloud

Registry nameio.github.LE-VAI/designesy-org

Install

Overview

Description from the maker (original English)

Design quality gate for AI-generated UI: score any URL on 45 deterministic checks, A–F grade.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi3 of 3 passedChecked from public information; code not scanned yet
UsageiVery new↓ 64/wk · ★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Computer or cloud
Transport: stdio, Streamable HTTP
Category: Design, images & audio

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 3 of 3 passed
Runs on the maker’s server: what you ask it goes through their server.
Can do 17 things (tools) designesy_catalog, designesy_contract, designesy_design_review, designesy_skill_md …
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet
PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://www.designesy.org/api/mcp

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "designesy-org": {
      "command": "uvx",
      "args": [
        "designesy-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add --transport http designesy-org https://www.designesy.org/api/mcp

Or run it on your computer

claude mcp add designesy-org -- uvx designesy-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "designesy-org": {
      "url": "https://www.designesy.org/api/mcp"
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "designesy-org": {
      "command": "uvx",
      "args": [
        "designesy-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "designesy-org": {
      "type": "http",
      "url": "https://www.designesy.org/api/mcp"
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "designesy-org": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "designesy-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://www.designesy.org/api/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.

designesy_catalog
List the 23 published Designesy packages with versions, URLs, and statuses. Use this to discover what Designesy publishes before fetching a specific contract. When NOT to use: if you already know which package you need, skip this and call designesy_contract directly. Read-only: n
designesy_contract
Get the Designesy design-system contract: the canonical tokens, motion, acoustic, takt, cadence, typography, components, and verification rules that define what the Designesy org considers legitimate design. Use this when you need the actual contract values (token names and value
designesy_design_review
Get the Designesy Design Review rubric for a qualitative design critique: eight dimensions (Purpose, Clarity, Context, Inclusion, System coherence, Durability, Delight, Responsibility), the output format, and the verification checklist, from the published Design Review kit. Use t
designesy_skill_md
Get the Designesy SKILL.md: the agent-skill-format export of the design-system contract, for a user to save into .agents/skills/ or a system prompt so a coding agent builds UI to the contract (tokens, anti-patterns, rules, verification). Use this when the user wants the contract
designesy_agent_json
Get the Designesy agent discovery document (/.well-known/agent.json) as reference data: the org identity, authority, discovery endpoints, package index, machine exports, permission policy, contact, and citation templates. Use this when integrating with or enumerating Designesy an
designesy_llms_txt
Get the Designesy /llms.txt brief as reference data: what Designesy is, canonical links, topics, the published package list, machine exports, standing rules, and contact. Use this first when you don't know what Designesy is; at a few thousand characters it is the cheapest orienta
designesy_llms_full_txt
Get the Designesy /llms-full.txt brief as reference data: authority, discovery endpoints, topics, every published package with its links, standing rules, and anti-patterns. Use this for a fuller picture of the Designesy ecosystem when the short brief from designesy_llms_txt is no
designesy_score
Score a live URL against the Designesy design contract: a deterministic 45-check verification engine that returns a numeric score, letter grade (A-F), and per-check breakdown. Use this to audit whether a website or AI-generated UI complies with a real design contract (tokens, mot
designesy_tokens_score
Validate a design token file against the W3C Design Tokens Community Group (DTCG) 2025.10 Final Community Group Report (the spec's first stable version, published Oct 28 2025 as a Candidate Recommendation and considered stable). Returns 10 conformance checks (t01-t10) with PASS,
designesy_a11y_score
Get the Designesy WCAG 2.2 AA accessibility verification framework: 11 conformance checks (a01-a11) plus a ready-to-run Playwright + axe-core 4.13.0 script template targeting your URL. Use this to audit a site for accessibility violations. When NOT to use: for a full design-contr
designesy_motion_score
Validate one Lottie animation file against the Designesy motion contract: its ten checks (m01-m10), drawn from the Lottie spec v1.0.1 and the Designesy §16 Ten Non-Negotiable Motion Standards. Each check returns PASS, FAIL, WARN or SKIP under the contract's own name for its id: m
designesy_drift_score
Score a live URL for AI-generated UI drift. Its 12 checks detect the four documented 2026 drift failure modes: token fabrication (var() references with no fallback to custom properties declared nowhere: not in a stylesheet, a block or a style attribute), within-session drift (spa
designesy_readiness_score
Score a URL for design-system AI readiness, the 6th maturity axis (zeroheight 2026). 10 checks probe the target origin for machine-readable artifacts: DTCG token files, llms.txt, agent.json, MCP endpoint (tools/list), DESIGN.md, token $description, component schemas, sitemap.xml,
designesy_guardrails
Generate a frozen build-contract bundle for AI coding agents from any design system URL (the product layer). Ingests a site, extracts its :root tokens, and emits 6 outputs: (1) DTCG-format token file, (2) Stylelint config generated from token values, (3) AGENTS.md-format rules wi
designesy_monitor_score
Score a URL for continuous design-drift governance, the temporal layer over the drift radar. Re-runs the 12 drift checks (d01-d12) on the URL and computes 10 monitor checks (m01-m10): history supplied, last run fresh, drift delta vs baseline, trend slope (3-run trajectory), new v
designesy_compare
Diff two design systems from live URLs, using the only URL-scoped design-token diff engine. Fetches both URLs in parallel, extracts their :root custom properties, and produces a structured diff across 8 dimensions: tokens added (in A not B), removed (in B not A), renamed (heurist
designesy_report
Generate a unified design-intelligence report for a single URL, the synthesis capstone. Fires /score (45-check audit), /drift (12-check drift radar), and /readiness (10-check AI readiness) in parallel, then computes a weighted composite: score × 0.5 + drift × 0.3 + readiness × 0.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account LE-VAI, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
✓ Pass
Endpoint responds
Responded in 553 ms (HTTP 200)
– Not applicable
Sign-in with OAuth
No sign-in needed
✓ Pass
No hidden instructions in tool descriptions
Read 17 tool descriptions and found no hidden instructions to the AI

Compared with others in Design, images & audioi

More stars than 0% of the other 2785 servers in this category
Published to the registry more recently than 65% of the other 2785 servers in this category
Basic checks equal to or better than 100% of the other 2785 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Designesy safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.13.10) reached the registry 17 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

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Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Designesy

A 12-second loop, recorded from the homepage. It plays once and rests on the verdict, and shows a still frame if you prefer reduced motion. Watch it run on designesy.org .

Design quality gate for AI-generated UI: score any URL on 45 deterministic checks, A–F grade. Live at designesy.org.

Quick Start

Score any URL in 5 seconds — no install:

npx @designesy/score@latest https://your-site.com

Add to Claude Desktop, Cursor, or any MCP client:

# Claude Code, remote (zero install, no auth):

claude mcp add --transport http designesy https://www.designesy.org/api/mcp

Or local stdio via PyPI:

pip install designesy-mcp && designesy-mcp

Clone this repo? The .mcp.json at root adds the local server (uvx designesy-mcp) to Claude Code as a project server. Claude Code asks you to approve it the first time you open the project. It needs uv.

Gate your CI on design-contract compliance:

- uses: LE-VAI/designesy-org@v1

with: url: https://your-app.vercel.app min-score: 70 min-grade: C post-comment: true # posts a summary comment on PRs (default)

The same 45-check engine powers an MCP server (17 tools for AI agents), a CLI with no required dependencies (npx @designesy/score), and a GitHub Action.

Designesy Contract Check is a GitHub Action that scores any URL against a 45-check design-system contract (tokens, motion, accessibility, cadence, takt, poise, identity, interaction, performance, responsive, semantic, security, spec, copywriting) and fails your CI workflow when the score or grade drops below your threshold. No LLM in the loop: every check is a published, deterministic rule, so the same page gives the same verdicts.

Tools

designesy_score — Score a live URL against the 45-check design contract. Returns score, grade (A–F), and per-check breakdown.
designesy_tokens_score — Validate a DTCG design-token file. 10 conformance checks against W3C DTCG 2025.10.
designesy_a11y_score — Get the WCAG 2.2 AA accessibility framework and Playwright/axe-core script template.
designesy_motion_score — Validate a Lottie animation file. 10 checks against Lottie spec v1.0.1 and §16 motion standards.
designesy_contract — Get the design-system contract (tokens, motion, takt, cadence, typography, verification), whole or only the top-level sections you name.
designesy_catalog — List the published Designesy packages with versions and URLs (the count comes back in package_count).
designesy_design_review — Get the 8-dimension qualitative design review rubric.
designesy_skill_md — Get the contract as an agent-skill-format SKILL.md for Cursor, Claude Code, or Replit.
designesy_agent_json — Get the /.well-known/agent.json discovery document.
designesy_llms_txt — Get the short /llms.txt agent brief.
designesy_llms_full_txt — Get the full /llms-full.txt brief as reference data (its ingest steps and paste-ready agent prompt stay in the published file).
designesy_drift_score — Score a live URL for UI drift: 12 checks on its custom properties and var() references.
designesy_readiness_score — Score a URL for AI readiness: 10 probes for machine-readable design artifacts (DTCG tokens, llms.txt, agent.json, an MCP endpoint, DESIGN.md and more).
designesy_guardrails — Generate a build-contract bundle for coding agents from a site's tokens: DTCG tokens, Stylelint config, AGENTS.md rules, component contract, anti-patterns and DESIGN.md.
designesy_monitor_score — Re-run the drift checks against earlier snapshots and compute 10 monitor checks; alerts come back in the result.
designesy_compare — Diff the tokens of two live URLs: added, removed, renamed, changed values, scale and contrast drift, and the score delta.
designesy_report — One composite report for a URL (score × 0.5 + drift × 0.3 + readiness × 0.2), with an interactive dashboard in hosts that support MCP Apps.

Tool reference table

Tool	Description
`designesy_score`	Score a live URL against the 45-check design contract — returns score, grade (A–F), per-check breakdown
`designesy_tokens_score`	Validate a DTCG design-token file (10 conformance checks, W3C DTCG 2025.10)
`designesy_a11y_score`	Get the WCAG 2.2 AA accessibility framework + Playwright/axe-core script template
`designesy_motion_score`	Validate a Lottie animation file (10 checks, Lottie spec v1.0.1 + §16 motion standards)
`designesy_contract`	Get the design-system contract (tokens, motion, takt, cadence, typography, verification), whole or only the top-level `sections` you name
`designesy_catalog`	List the published Designesy packages with versions and URLs
`designesy_design_review`	Get the 8-dimension qualitative design review rubric
`designesy_skill_md`	Get the contract as an agent-skill-format SKILL.md (for Cursor/Claude Code/Replit)
`designesy_agent_json`	Get the /.well-known/agent.json discovery document
`designesy_llms_txt`	Get the short /llms.txt agent brief
`designesy_llms_full_txt`	Get the full /llms-full.txt brief as reference data (its ingest steps and paste-ready agent prompt stay in the published file)
`designesy_drift_score`	Score a live URL for UI drift (12 checks on custom properties and var() references)
`designesy_readiness_score`	Score a URL for AI readiness (10 probes for machine-readable design artifacts)
`designesy_guardrails`	Generate a build-contract bundle for coding agents from a site's tokens (6 files)
`designesy_monitor_score`	Re-run drift checks against earlier snapshots; 10 monitor checks; alerts in the result
`designesy_compare`	Diff the tokens of two live URLs, with the score delta
`designesy_report`	Composite report for one URL (score, drift, readiness), with an MCP App dashboard

Live

Site: designesy.org
MCP endpoint: designesy.org/api/mcp (Streamable HTTP, no auth)
Score a site: designesy.org/score
Methodology: designesy.org/methodology — full 45-check scoring methodology
Contract: designesy.org/contracts/design-system
Machine export: designesy.org/contracts/design-system.json

Contract verification

The live site is verified against the design system contract — 45 deterministic checks with provenance back to tokens. Both badges read the site's own recorded score from /api/badge?site=designesy.org, which carries the date it was measured; for a fresh reading with every check, score designesy.org now. See the methodology page for how the score is computed.

The contract

45 verification checks across 14 weighted categories — tokens, motion, accessibility, cadence, takt, poise, identity, interaction, performance, responsive, semantic, security, spec, copywriting
Copywriting principles (added in v0.4.0) — 16 UX copy principles + 4 verification checks (button verb phrases, no trailing periods, descriptive link text, no ALL CAPS)
10 Non-Negotiable Motion Standards — deliberate easing, explicit properties, opacity entrances, keyboard stillness, no layout animation, touch gating, bounded duration, reduced-motion paths, asymmetric press, no ease-in
10 acoustic cue tokens — custom $type: sound (net-new vs W3C DTCG 2025.10), Cuelume 0.2 engine (MIT), interaction-only. The acoustic token document adds 9 extended feedback cues, 19 in all
10 open tensions — documented, not hidden
Spring physics — default + momentum tokens via custom $type: spring
Machine-readable — W3C DTCG 2025.10 format + custom extensions

See the contract page for the full adoption history.

GitHub Action

Gate your CI on design-contract compliance:

- uses: LE-VAI/designesy-org@v1

with: url: https://your-app.vercel.app min-score: 70 min-grade: C post-comment: true # posts a summary comment on PRs (default)

Scores a URL via the live /api/score engine and fails the workflow if the score or grade drops below your threshold. Runs on node24, posts PR comments via bare GitHub REST API (zero dependencies). See action/README.md for full usage.

CLI

Score a URL from the command line — for local development, pre-commit hooks, or scripts:

# No install needed:

npx @designesy/score designesy.org

With gating (exit 1 on failure):

npx @designesy/score linear.app --min-score 70 --min-grade B

JSON output for piping:

npx @designesy/score vercel.com --format canonical --json

No required dependencies. The engine runs locally, with no Designesy server; the checks that need a browser return MANUAL. See --help for all options and packages/score/README.md for the full reference.

From a clone of this repo: the engine's dist/ folder is not committed, so build it first.

npm --prefix packages/score ci

npm run build:score node packages/score/dist/cli.js designesy.org

The older cli/designesy-score.mjs (npm run score) reads the same build. It is superseded by @designesy/score. Its --api flag (or the SCORE_API env var) is an opt-in remote fallback that sends the URL to a scoring server instead of scoring locally; it is off by default.

Repository

The site is a Next.js 16 App Router app (React 19, webpack build), deployed on Vercel. The npm packages and the MCP server live beside it.

apps/site                              the site, its API routes (/api/score, /api/mcp) and its build checks (scripts/)

packages/score @designesy/score: the scoring engine and CLI (npm) packages/cli @designesy/cli: one CLI for tokens and score (npm) packages/tokens @designesy/tokens: DTCG token validator (npm) package

Only the beginning is shown; read the rest in the repo

Designesy

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Or run it on your computer

Or run it on your computer

Or run it on your computer

Or run it on your computer

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Design, images & audioi

Common questions

Alternatives

Figma Context MCP

Claude Real Video

Figma MCP Server

README from the maker

Designesy

Quick Start

Or local stdio via PyPI:

Tools

Tool reference table

Live

Contract verification

The contract

GitHub Action

CLI

With gating (exit 1 on failure):

JSON output for piping:

Repository