Designesy
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) |
|---|---|
| Registry version | 1.13.10 |
| Now | 17 tools · grade D (55) · pin ts_211ae7bd5e173391a23f2674fe44bea1 · protocol 2025-06-18 |
| First / last listed | 2026-10-28 02:03 UTC / 2026-10-28 02:03 UTC |
| Grade over time | 2026-10-28: D (55), 17 tools |
Is this your server? Own a server? ToolFit hosted watch re-checks it every 24 h ($0.25 per 30 days) or 6 h ($0.60) and sends you an HMAC-signed webhook when its tools or grade change: POST https://api.youraitools.co/toolfit/v1/watch. To opt out, see About & opt-out.
Tools: designesy_catalog designesy_contract designesy_design_review designesy_skill_md designesy_agent_json designesy_llms_txt designesy_llms_full_txt designesy_score designesy_tokens_score designesy_a11y_score designesy_motion_score designesy_drift_score designesy_readiness_score designesy_guardrails designesy_monitor_score designesy_compare designesy_report
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: no side effects. Returns JSON: { package_count, packages[{id, kind, title, version, status, human_url, machine_url}], sta params: none |
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, accessibility rules) to author, check, or bind a design. When NOT to use: for a pass/fail score of a params: sections, section |
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 structured rubric to critique a design holistically, rather than a numeric compliance score. When NO params: artifact, purpose, context, rules |
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 NOT to use: for the raw contract JSON, use designesy_contract; for scoring, use designesy_score. Read params: none |
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 discovery manifest rather than one specific contract. When NOT to use: for the package list, use de params: none |
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 pulling heavier artifacts. When NOT to use: for the longer brief, use designesy_llms_full_txt; for the params: none |
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 to use: for a quick orientation, use designesy_llms_txt (a few thousand characters; this one runs ove params: none |
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, cadence, takt, typography, copywriting). When NOT to use: for token-file validation only, use design params: url, format, scope |
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. Use this to verify a tokens.json (or any DTCG token export) is structurally correct: $type (direct o params: url, dtcg_file |
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 a11y), use designesy_score. Does NOT run the scan: axe-core needs a real browser DOM. Returns the 11 params: url*, ruleset, config |
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-level animation object (layer contents are not validated, so a clean file returns SKIP, not PASS), m params: url, lottie_file |
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/radius value variance), between-session amnesia (inconsistent font stacks, shadows, transitions), and params: url |
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 Open Graph/Twitter meta. Use this to verify whether a design system is the default context AI tools bui params: url |
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, (4) component contract with allowed prop patterns, (5) anti-pattern documentation, (6) DESIGN.md fil params: url, parts |
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 violations since last run, resolved since last run (the healing signal), score degradation threshold, token-set mutation, params: url, email, history |
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), value-changed (same name, different value), scale-stop-changed (spacing/radius/color scale steps), params: urlA*, urlB* |
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 output, one composite grade. Use this when you need a single holistic assessment instead of three sepa params: url*, detail |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.