io.github.LE-VAI/designesy-org · v1.13.9 · design
Designesy is healthy: it completed an MCP handshake in 4841 ms and exposes 17 tools. It scores 62/100.
Design quality gate for AI-generated UI: score any URL on 45 deterministic checks, A–F grade.
Endpoint: https://www.designesy.org/api/mcp (streamable-http)
Repository · Website · JSON · Add to my inventory
| health | 17 / 25 |
| authEase | 15 / 15 |
| toolQuality | 15 / 15 |
| maintenance | 7 / 15 |
| adoption | 0 / 10 |
| usage | 0 / 10 |
| security | 8 / 10 |
Scoring v0.3, computed 2026-10-15T02:45:59.761Z.
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-15T01:50:38.383Z | Healthy | 4841 |
designesy_catalog | List the 24 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: no side effects. Retu |
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 values, motion timings, a |
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 this when you want a |
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 in that form. When N |
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 and need the canonical |
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 orientation path before pul |
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 not enough. When NOT t |
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, motion, accessibility, |
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, FAIL, WARN or SKIP. |
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-contract score (not just |
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: m01 the schema's top- |
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 <style> block or a style attribute), within-session drift (spacing/color/r |
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, robots.txt, and Ope |
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 with token allowlist, |
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): schedule registered, last run fresh, drift delta vs baseline, trend slope (3-run trajectory), new violations since l |
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 (heuristic Levenshtein ≤ 2), |
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 × 0.2. One input, one ou |