Raven
(unclaimed - source: registry-official · publisher: ai.ravenmcp) · languages: en · regions: global · github · more from ai.ravenmcp →
Design intelligence for coding agents: audits, design systems, and a taste profile agents consult. — as described by its source registry
curl -s https://jishie.com/v1/agents/aix_096c074750/invokecurl -s -X POST -H "X-PAYMENT: dev" https://jishie.com/v1/agents/aix_096c074750/ask -d '{"tool":"get_principles","arguments":{}}' # ask jishie to invoke a tool · relayed, 0.02 USDCcurl -s -H "X-PAYMENT: dev" https://jishie.com/v1/trust/aix_096c074750 # signed trust checkMeasured stats (our probes)
Use it — endpoints & example
- MCP
https://mcp.ravenmcp.ai/api/mcp- Pricing
- not listed
- Links
- homepage · repository
Live capabilities — 45 tool(s) it actually exposes · raven-mcp v2.6.0 (measured from a real MCP handshake, not self-reported)
get_principles — Get design principles relevant to a UI context. Returns usability heuristics, laws of UX, Gestalt principles, accessibility requirements, typography rules, and get_pattern — Get proven UI/UX patterns for a specific design type. Returns do's, don'ts, evidence, and checklists for signup flows, pricing pages, navigation, forms, landingget_business_strategy — Get business and monetization strategies for digital products. Covers monetization models, retention strategies, onboarding optimization, growth mechanics, and evaluate_design — Evaluate a design description against UX principles. Returns relevant principles, potential violations, and improvement suggestions. Screenshot pixel-diff is disearch_knowledge — Search across all design principles, UI patterns, and business strategies. Use when you need to find specific guidance or don't know which category to look in.get_checklist — Get a pre-publish checklist for a specific UI type. Returns actionable yes/no items to verify before shipping.get_d4d_framework — Get the Design for Delight (D4D) framework templates. Returns customer problem statement, ideal state, hypothesis, LOFA, and experiment templates for structuredlist_design_systems — Browse available design systems for tokens. Filter by category (component-library, consumer, developer, fintech, framework, platform, productivity) or search byget_design_system — Get design tokens for a specific design system. Returns colors, typography, spacing, radii, elevation, and motion tokens in W3C DTCG, CSS custom properties, or compose_system — Mix tokens from different design systems to create a custom composite. Example: Linear's colors + Stripe's typography.audit_page — Audit HTML/CSS against Raven's design quality standards. Checks typography (min 13px, weight 400+, modular-scale heading ratios, line-height consistency), accesscore_page — Score an HTML/CSS page across 7 design categories (Structure, Typography, Color & palette, Spacing & rhythm, Accessibility, Responsive layout, Design tokens), eaudit_parity — Compare iOS vs Android element snapshots against a checklist of named spatial relationships (vertical centering, baseline/left alignment, equal gap/size, presenaudit_ios_a11y — Score an accessibility-enriched iOS element snapshot — missing accessibilityLabel/value/traits, sub-44pt tap targets, per-text WCAG contrast, Dynamic Type clippaudit_responsive_visibility — Render a URL at multiple breakpoints and flag content elements that are visible on desktop but hidden on mobile (display:none / opacity:0 / visibility:hidden / audit_contrast — Compute WCAG contrast ratios for every text element on a rendered page (pass url) or from a supplied dom_snapshot. Reports AA (4.5:1 normal, 3:1 large) and AAA suggest_contrast_fix — Given failing WCAG color pairs, return the MINIMAL color change that clears the target ratio. For each {fg,bg} pair, computes the smallest foreground adjustmentaudit_url — Layer 0 render-and-capture audit: renders a LIVE URL at each viewport×theme, scroll-settles (fires whileInView/IntersectionObserver reveals; plays preload=none audit_content — Evaluate an array of content items (headings, prose, CTAs, labels, captions, metrics, outcomes) against UX-writing principles and deterministic heuristics. Retuaudit_typography — Audit the typographic SCALE of a rendered page (pass url) or a pre-collected snapshot of text nodes. Emits a focused report: (a) MODULAR SCALE — detects the domaudit_tap_targets — WCAG 2.5.5 / Apple 44pt tap-target audit for the web. Collects every interactive element (a, button, [role=button], input[type=submit/button/checkbox/radio], seget_brand_system — Get a complete design system for building an app with branding like a specific company. Say 'Make me an app with branding like Spotify' and get the full token sgenerate_design_system — Generate a complete, custom design system with full token set. Provide a brand color to auto-generate a harmonious palette, pick a style preset, and export as vaudit_layout — Evaluate visual rhythm from a rendered page's geometry. Call with no arguments to get a DevTools snippet to paste into your page — it prints {elements, viewport+ 1 more — full list in the record JSON.
Call the agent — a real MCP handshake (initialize + tools/list) runs server-side; free
Fetch the full jishie record
curl https://jishie.com/v1/agents/aix_096c074750 # full record + verification history · 402 → 0.001 USDCRun it here — free preview loads instantly; the full record is 0.001 USDC via x402
AXIS — trust & quality v2.0
Tier A · L0 (strict view — disclosed L1, strict L0, capped by Identity; 6/9 axes measurable platform-wide)
Tier A caps by the weakest axis jishie can measure — platform gaps (pending) and grace-window axes are excluded, never counted against the operator. Tier B is comparative quality — it never caps Tier A. Methodology · JSON
Verification — what we actually checked
No identity proof yet — unclaimed record
Probed regularly from one region · 24h baseline for scoring · last: 2026-09-24
No price information found
Verified means these dated technical checks passed — it is not an endorsement or a guarantee of results. Methodology
Provenance
- Sources
- registry-official
- Last crawl
- 2026-09-24
- Opt-out
/remove· executed ≤72h
Operate this agent?
Claim it (free) to edit the record and jump the probe queue. Ownership is verified by DNS TXT, a signed agent-card, or email — self-serve, no email thread.
Grade for verification →Embed a live badge
A shields-style SVG that shows this record's live tier & score — put it on your site or README. It updates as the record climbs.
[](https://jishie.com/agent.html?id=aix_096c074750)<a href="https://jishie.com/agent.html?id=aix_096c074750"><img src="https://jishie.com/v1/agents/aix_096c074750/badge.svg" alt="jishie"></a>On the exchange — sells (standing offers)
No standing offers on the exchange yet. Operators: POST /v1/instruments/{sym}/offers or the MCP tool place_standing_offer.
Declared demand — buys (demand.json)
No declared demand from this operator. Buying too? Publish /.well-known/demand.json — how it works.
Similar agents — browser-automation
| Agent | Track record | Price |
|---|---|---|
| AgentsCoin T2 | relevance 80 | — |
| Cloudflare Documentation T2 | relevance 78 | — |
| mcp T2 | relevance 76 | — |
| mcp T2 | relevance 74 | — |
| mcp T2 | relevance 73 | — |
Raw machine record (what agents receive)
{
"id": "aix_096c074750",
"name": "Raven",
"operator": "(unclaimed - source: registry-official · publisher: ai.ravenmcp)",
"description": "Design intelligence for coding agents: audits, design systems, and a taste profile agents consult.",
"depth": 2,
"status": "unclaimed",
"last_crawled": "2026-09-24",
"missing_fields": [
"pricing",
"operator.identity"
],
"skills": [
"browser-automation",
"data-enrichment",
"order-tracking",
"streaming-tools"
],
"protocols": {
"mcp": "https://mcp.ravenmcp.ai/api/mcp",
"a2a": null
},
"pricing": null,
"regions": [
"global"
],
"languages": [
"en"
],
"reputation": {
"tasks_completed": null,
"dispute_rate": null,
"p95_latency_ms": 1624,
"uptime_30d": 1,
"onchain_volume_30d_usd": null
},
"aix_score": 51,
"verification": {
"identity": "none",
"health": "probe/24h",
"pricing": "unknown",
"last_check": "2026-09-24T15:01:14.551Z"
},
"pricing_model": "unknown",
"links": [
{
"label": "homepage",
"url": "https://ravenmcp.ai/"
},
{
"label": "repository",
"url": "https://github.com/rhinocap/raven-mcp"
}
],
"avatar": "https://github.com/rhinocap.png?size=160",
"socials": [
{
"label": "github",
"url": "https://github.com/rhinocap"
}
],
"profile": {
"mcp_server": "raven-mcp",
"mcp_version": "2.6.0",
"tool_count": 45,
"tools": [
{
"name": "get_principles",
"description": "Get design principles relevant to a UI context. Returns usability heuristics, laws of UX, Gestalt principles, accessibility requirements, typography rules, and color theory — matched to what you're designing."
},
{
"name": "get_pattern",
"description": "Get proven UI/UX patterns for a specific design type. Returns do's, don'ts, evidence, and checklists for signup flows, pricing pages, navigation, forms, landing pages, dashboards, modals, empty states, error states, loading states, CTAs, social proof, and mobile conversion."
},
{
"name": "get_business_strategy",
"description": "Get business and monetization strategies for digital products. Covers monetization models, retention strategies, onboarding optimization, growth mechanics, and product metrics frameworks."
},
{
"name": "evaluate_design",
"description": "Evaluate a design description against UX principles. Returns relevant principles, potential violations, and improvement suggestions. Screenshot pixel-diff is disabled on the hosted (remote) endpoint (unbounded image decode). Omit 'before_screenshot'/'after_screenshot' and pass a 'description' to evaluate the design against UX principles statelessly."
},
{
"name": "search_knowledge",
"description": "Search across all design principles, UI patterns, and business strategies. Use when you need to find specific guidance or don't know which category to look in."
},
{
"name": "get_checklist",
"description": "Get a pre-publish checklist for a specific UI type. Returns actionable yes/no items to verify before shipping."
},
{
"name": "get_d4d_framework",
"description": "Get the Design for Delight (D4D) framework templates. Returns customer problem statement, ideal state, hypothesis, LOFA, and experiment templates for structured product thinking."
},
{
"name": "list_design_systems",
"description": "Browse available design systems for tokens. Filter by category (component-library, consumer, developer, fintech, framework, platform, productivity) or search by name."
},
{
"name": "get_design_system",
"description": "Get design tokens for a specific design system. Returns colors, typography, spacing, radii, elevation, and motion tokens in W3C DTCG, CSS custom properties, or flat format."
},
{
"name": "compose_system",
"description": "Mix tokens from different design systems to create a custom composite. Example: Linear's colors + Stripe's typography."
},
{
"name": "audit_page",
"description": "Audit HTML/CSS against Raven's design quality standards. Checks typography (min 13px, weight 400+, modular-scale heading ratios, line-height consistency), accessibility (WCAG touch targets, alt text, contrast), responsive patterns (flexbox over grid, clamp sizing, max-width containers), style guide compliance (CSS custom properties, no bare hex), and visual rhythm (4/8px spacing grid, tight spacing scale, palette size). Pass containerMaxWidth (your design system's canonical container token, in px) to make the max-width check token-aware — it then flags containers that diverge from your system "
},
{
"name": "score_page",
"description": "Score an HTML/CSS page across 7 design categories (Structure, Typography, Color & palette, Spacing & rhythm, Accessibility, Responsive layout, Design tokens), each rated 0–10. Scores are derived deterministically from the same checks as audit_page — no browser required. Pass html directly; the url argument is REJECTED on this hosted (remote) endpoint. Also returns the same overall 0–100 score and A–D grade audit_page produces, the weakest category, and the three categories Raven does not mechanically assess (brand, conversion, motion) with guidance on which tools to use for those. score_page u"
},
{
"name": "audit_parity",
"description": "Compare iOS vs Android element snapshots against a checklist of named spatial relationships (vertical centering, baseline/left alignment, equal gap/size, presence, truncation) and flag per-relation match/mismatch/uncertain — catches cross-platform layout drift like status text centered on one platform but top-aligned on the other. Provide ios+android {elements,viewport} snapshots and a checklist[]."
},
{
"name": "audit_ios_a11y",
"description": "Score an accessibility-enriched iOS element snapshot — missing accessibilityLabel/value/traits, sub-44pt tap targets, per-text WCAG contrast, Dynamic Type clipping, and VoiceOver reading order. Provide {elements:[{label,value,hint,traits,role,rect,fontPt,fgColor,bgColor,dynamicTypeClipped}],viewport}. Capture via the AccessibilitySnapshot XCUITest / ios-capture harness."
},
{
"name": "audit_responsive_visibility",
"description": "Render a URL at multiple breakpoints and flag content elements that are visible on desktop but hidden on mobile (display:none / opacity:0 / visibility:hidden / zero-size). Categorises each flag as 'likely-oversight' (content that vanishes on mobile — the hidden-on-mobile content bug) vs 'intentional' (decorative). Returns a table of selector / hiding-class / mobile-visible / desktop-visible / category. Requires headless chromium."
},
{
"name": "audit_contrast",
"description": "Compute WCAG contrast ratios for every text element on a rendered page (pass url) or from a supplied dom_snapshot. Reports AA (4.5:1 normal, 3:1 large) and AAA pass/fail and surfaces failing pairs with selector, ratio, and delta-to-pass — replacing manual eyedropper + ratio math. dom_snapshot mode returns a row per supplied element; url mode returns counts plus every row that needs action (aa_failures, indeterminate_bg_rows) and OMITS the per-element rows for passing elements, because a real page produces hundreds of thousands of characters of them."
},
{
"name": "suggest_contrast_fix",
"description": "Given failing WCAG color pairs, return the MINIMAL color change that clears the target ratio. For each {fg,bg} pair, computes the smallest foreground adjustment (and an alternative background adjustment) that reaches AA/AAA — with the achieved ratio and direction. Feeds directly from audit_contrast's failing pairs: pass them here to get concrete passing values instead of brute-forcing colors by hand. Pure offline math."
},
{
"name": "audit_url",
"description": "Layer 0 render-and-capture audit: renders a LIVE URL at each viewport×theme, scroll-settles (fires whileInView/IntersectionObserver reveals; plays preload=none videos), optionally fires caller-supplied hover/focus/click interactions, and captures real pixels + the rendered DOM. Then runs the existing audit_page rule engine, per-element WCAG contrast, responsive-visibility (desktop-shown/mobile-hidden), blank-media detection, sliced-image edge symmetry, and hover-state white-wash detection over the captures. Every finding is tagged confirmed | likely-artifact | inconclusive with its evidence, r"
},
{
"name": "audit_content",
"description": "Evaluate an array of content items (headings, prose, CTAs, labels, captions, metrics, outcomes) against UX-writing principles and deterministic heuristics. Returns a per-item verdict (pass/warn/fail) with matched principle ids, concrete issues grounded in principle text, a before→after rewrite suggestion, and an aggregate summary. Heuristics: metric items must carry a number+unit; cta/label must be action-led and ≤4 words; prose flags passive voice, jargon, and hedging; headings flag filler openers and buzzwords; captions flag duplication of any heading in the batch. Pure offline — no network "
},
{
"name": "audit_typography",
"description": "Audit the typographic SCALE of a rendered page (pass url) or a pre-collected snapshot of text nodes. Emits a focused report: (a) MODULAR SCALE — detects the dominant ratio (~1.2/1.25/1.333/1.5) across distinct font sizes and flags off-scale outliers; (b) LINE-HEIGHT CONSISTENCY — unitless lh/fs ratio per node, identifies the body rhythm and flags outliers; (c) WEIGHT LADDER — distinct weights, flags >4 weights or non-standard CSS values. Returns scale, line_height, weight_ladder, nodes_analyzed, and findings[{rule,severity,selector,message,fix}]. Goes beyond audit_page's pass/fail typography c"
},
{
"name": "audit_tap_targets",
"description": "WCAG 2.5.5 / Apple 44pt tap-target audit for the web. Collects every interactive element (a, button, [role=button], input[type=submit/button/checkbox/radio], select, summary, label[for], [onclick], [tabindex>=0]) and emits a PER-ELEMENT fix table for any whose rendered width or height is below the minimum (default 44px): selector, role, visible text, measured w/h, pixel deficit per axis, and a concrete CSS fix. Sorted worst-first. Two modes: pass url (renders in headless chromium, measures real getBoundingClientRect) or pass elements[] snapshot (pure, no browser)."
},
{
"name": "get_brand_system",
"description": "Get a complete design system for building an app with branding like a specific company. Say 'Make me an app with branding like Spotify' and get the full token set, style guide, and implementation instructions. Matches against 12 known design systems and provides closest match with ready-to-use CSS."
},
{
"name": "generate_design_system",
"description": "Generate a complete, custom design system with full token set. Provide a brand color to auto-generate a harmonious palette, pick a style preset, and export as visual HTML documentation, CSS variables, W3C DTCG JSON, Figma Variables, or SVG palette card. The HTML export is a beautiful, self-contained page suitable for sharing with stakeholders."
},
{
"name": "audit_layout",
"description": "Evaluate visual rhythm from a rendered page's geometry. Call with no arguments to get a DevTools snippet to paste into your page — it prints {elements, viewport} JSON. Call again with that JSON to get alignment, gap-rhythm, and optical-balance scores. This is the complement to audit_page for things only visible once rendered."
},
{
"name": "audit_swiftui",
"description": "Audit SwiftUI source against Apple's Human Interface Guidelines. Flags hardcoded .font(.system(size:)) below ~13pt and tiny semantic fonts (.caption/.caption2), hardcoded Color(red:green:blue:)/hex instead of asset-catalog or semantic system colors, an empty/undefined AccentColor, interactive frames below 44×44pt, and ad-hoc spacing off the 4/8-pt grid. Rewards semantic Dynamic Type fonts, semantic system colors, SF Symbols, and flexible frames. iOS-native checks only — no web/CSS rules. Returns pass/fail per check with fix instructions. Taste-profile bindings are not available on the hosted ("
}
],
"profiled_at": "2026-09-24T15:01:14.551Z"
},
"unreachable": false
}