Award intelligence · new in v1.7.2 · six tools

Read the winners. Build like them.

Six tools turn Awwwards-grade sites into plans your agent can build: ranked references with reasons, source-backed design DNA, one blueprint onto free Aura components — and audits that say plainly when they're live and when they're static.

The loop · five calls

References in, blueprint out

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Search

ranked refs + try_for cues

aura_award_search { query: "glassy saas" }
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Inspect

design DNA + rule-based ideas

aura_award_inspect { mode: "site_details" }
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Blueprint

brief + tokens + next_calls

aura_design_blueprint { goal: "dark pricing" }
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Audit

capture / bands / compare

aura_visual_audit { mode: "capture" }
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Motion

scans + frame studies

aura_motion_study { mode: "inspect" }

The six tools

29 → 35 tools, zero new deps.

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aura_award_search

Ranked Awwwards refs across sites, categories, elements or motion — every reason names your word.

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aura_award_inspect

Source-backed design DNA: palette, tech, elements, awards — with rule-based ideas.

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aura_design_blueprint

Goal + 2–5 refs → brief, tokens_css, section-matched free components and next_calls.

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aura_visual_audit

Screenshots and band maps when Chrome runs; labeled static-html estimates otherwise.

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aura_motion_study

Runtime motion scans and bounded frame studies — searchable by library or easing.

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aura_award_index

Local award corpus: status, rebuild, resume, refresh, winners and watches.

One call · aura_design_blueprint

Four artifacts, in dependency order.

Give it a goal sentence and 2–5 reference slugs. It reads the shared patterns and returns tokens first — so pasting the markup afterward actually holds together.

device, visual direction and constraints are optional inputs — pins, motion and motionless both work.

brief

Goal restated, chosen direction, and the 3–5 shared patterns that actually transfer.

tokens_css

Paste-ready custom properties — paper, ink, accent, radius, type ramp — from the ranked refs.

components

Section-matched free Aura components with ids, so the plan lands on things you can fetch.

next_calls

The follow-ups in order: fetch, install, audit, motion study — no guessing what comes next.

Evidence honesty

Live when it can be. Labeled when it can't.

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Live when Chrome runs

aura_visual_audit captures screenshots and band maps. With ffmpeg installed, aura_motion_study scans runtime motion and bounded frame studies.

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Labeled when it can't

No Chrome? Estimates are labeled static-html — never dressed up as a live capture. Evidence gaps are named, not rounded over.

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Bounded by design

Polite fetching around ~1 request/second, page caps between 1 and 20, and a local corpus under ~/.aura-mcp/awards so re-runs stay cheap.

Chrome and ffmpeg are optional — the award layer degrades to labeled static analysis, never to invented screenshots.

Point it at your favourite winners.

One install command, any MCP client. Then ask for a blueprint and watch the loop run.

npx -y aura-components-mcp@latest