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Raven

REMOTE · MCP.RAVENMCP.AI · 2 COMPONENTS

Design intelligence for coding agents: audits, design systems, and a taste profile agents consult.

−1 this week 87 Trust /100

Last scanned (19 hours ago)

Scores higher than 94% of remote servers

Reachable. Last reached 4 Nov 2026.

Category Design and Media

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security80
Transport & Reachability100
Schema Quality & AI Usability78
  • 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 9957 tokens (~221/item across 45 items; 45 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management97
  • Stability observed for 29 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage98
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 94% of tool parameters carry a description.Partial
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 45 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 46 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 4 Nov 26 −1
    • The server rewrote its instructions, which are the text every model session reads security
    • Stability: pass → 0.97 functional
    • Server version: 2.6.0 → 3.0.0 functional
  • 28 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 25 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 24 Sept 26 0
    • Server version: 2.5.1 → 2.6.0 functional
  • 29 Aug 26 0
    • Stability: 0.97 → pass security
  • 28 Aug 26 0
    • Stability: pass → 0.97 functional
  • 26 Aug 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 25 Aug 26 0
    • Stability: 0.97 → pass security
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 4 Nov 2026 · Probed https://mcp.ravenmcp.ai/api/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=mcp.ravenmcp.ai CN=YR1,O=Let's Encrypt,C=US 6 Sept 2026 5 Dec 2026 RSA 2048 SHA256-RSA 5b257ebff99028c22d0743400538b80e2ea
SANs: mcp.ravenmcp.ai
CN=YR1,O=Let's Encrypt,C=US (CA) CN=Root YR,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 RSA 2048 SHA256-RSA a20253f15f2691c05dc1ce13b9bcca4e
CN=Root YR,O=ISRG,C=US (CA) CN=ISRG Root X1,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 RSA 4096 SHA256-RSA f24b6d17f9d9ad7cb1c9fea78782699f

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of mcp.ravenmcp.ai. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
ai. present 1814, 3799 8, 8 Verified
ravenmcp.ai. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200
Header Value
strict-transport-security max-age=63072000

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://mcp.ravenmcp.ai/api/mcp Verified 200
http (plaintext) http://mcp.ravenmcp.ai/api/mcp HTTPS enforced 308 https://mcp.ravenmcp.ai/api/mcp
MCP tools · 45 exposed · ~8,416 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
audit_consistency ~261

Audit multiple pages for cross-page consistency of content-container width and hero heading tier. Pass ≥2 pages ({name, html}) collected from different routes on the same site. Infers the canonical (modal) value from the corpus when no token is supplied, so you need not know the project's design token in advance. Flags the issue #9 single-blob blind spot: pages that each pass audit_page but silently disagree with each other on container width or hero size class. Returns per-page extraction (container_px, container_classes, hero_classes, signatures), consistency dimensions with reference values, outlier page names, issues[], score (100/50/0 → A/C/D), and a plain-text summary. Pure offline — no browser, no network.

NameTypeReqDescription
container_tokennumber–Project's canonical container width in px (e.g. 1152). When supplied, container divergence is measured against this token rather than the corpus modal.
hero_tokenstring–Canonical hero heading class signature (e.g. "text-display-xl" or "64"). When supplied, hero divergence is measured against this token rather than the corpus modal.
pagesarrayyesAt least 2 pages to compare. Each entry is {name, html}.

No output schema declared.

No examples provided.

audit_content ~220

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 or browser. Use this instead of evaluate_design when you need per-item content verdicts rather than the principle library.

NameTypeReqDescription
goalsarray–Optional content goals (e.g. ['clarity','conversion']); recorded for traceability.
itemsarrayyesArray of content items to audit.
systemstring–Optional content-system id (e.g. 'ux-writing'); recorded for traceability.

No output schema declared.

No examples provided.

audit_contrast ~191

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.

NameTypeReqDescription
dom_snapshotarray–Pre-collected text elements to score without rendering
screenshotstring–Optional base64 PNG for caller reference; ratios are computed from the DOM, not pixels
urlstring–URL to render and measure (http/https or file://)

No output schema declared.

No examples provided.

audit_ios_a11y ~117

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.

NameTypeReqDescription
elementsarrayyes–
optionsobject––
viewportobjectyes–

No output schema declared.

No examples provided.

audit_ios_privacy ~299

Audit an iOS or React Native/Expo app's privacy posture for App Review and user trust. Reads a native Info.plist XML OR an Expo app.json (managed Expo apps have no Info.plist) — plus optional PRIVACY.md, entitlements, and source. Flags: NS*UsageDescription strings that are vague/missing or contradict the code (e.g. a HealthKit write claim the code never fulfills), entitlements/permissions and Android permissions the app doesn't use, ATS cleartext exceptions and non-HTTPS endpoints, secrets/keys shipped in the bundle or app.json, and default data-egress paths not disclosed at the point of choice (a pre-selected 'Recommended' option that silently sends personal data to a server). Same return shape as audit_page.

NameTypeReqDescription
app_jsonstring–Expo app.json / app.config JSON (managed RN). Its expo.ios.infoPlist, expo.android.permissions, plugins, and extra are audited.
entitlementsstring–Optional .entitlements XML
info_pliststring–Raw Info.plist XML (native iOS / bare RN). Provide this OR app_json.
privacy_mdstring–Optional PRIVACY.md / privacy policy text to cross-reference against declared permissions and default behavior
sourcestring–Optional concatenated source (Swift or JS/TS) — enables code-vs-declaration contradiction checks and default-egress detection

No output schema declared.

No examples provided.

audit_ios_screen ~348

Audit a rendered iOS screen from a view-hierarchy/accessibility snapshot (and optional screenshot). Alias of audit_screen with platform:"ios". Call with no arguments for the expected snapshot shape. Call with {elements:[{label,rect:{x,y,w,h},role,fontPt,fgColor,bgColor}],viewport:{w,h}} to score 44×44pt touch targets, contrast (with iOS secondaryLabel/tertiaryLabel treated as platform-standard — warn not fail), and visual rhythm (alignment, gap consistency, optical balance) in points. Same return shape as audit_page. Taste-profile bindings are not available on the hosted (remote) endpoint (per-user state is a later phase). Omit 'project'/'profile' to run the stateless iOS screen audit.

NameTypeReqDescription
elementsarray–Elements captured from the rendered screen via an accessibility/view-hierarchy snapshot
profilestring–Taste profile owning the binding. Omit to search all stored profiles for one bound to the project.
projectstring–Project identifier — resolves a saved taste surface binding (see bind_taste_surface). When the binding carries design_notes and a screenshot is passed, the screenshot's pixels verify the color-scheme…
screenshotstring–Optional base64 PNG of the screen, for the caller's reference. Geometry is scored from the snapshot, not decoded pixels.
viewportobject–Screen size in pt (iOS) or dp (Android) at capture time, e.g. {w:393,h:852} iPhone 15, {w:412,h:915} Pixel

No output schema declared.

No examples provided.

audit_layout ~115

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.

NameTypeReqDescription
elementsarray–Array of element rects captured from the rendered page via the DevTools snippet
viewportobject–Viewport dimensions {w,h} at capture time

No output schema declared.

No examples provided.

audit_page ~544

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 (too narrow OR too wide) instead of a generic 1200px heuristic. Returns pass/fail per check with specific fix instructions. NOTE: the url argument is REJECTED on this hosted (remote) endpoint - pass html instead. audit_page url-capture is disabled on the hosted (remote) endpoint. Pass the page HTML via the 'html' argument instead.

NameTypeReqDescription
adversarial_verifyboolean–After generating findings, independently re-check each against the live DOM/network and tag it confirmed / likely-artifact / inconclusive. Surfaces a debunked_count.
compactboolean–Return only the decision-grade signal — score, grade, summary, errors, warnings, fix_priority — and drop the embedded base64 screenshot and the passes list (replaced by passes_count). Default false.…
containerMaxWidthnumber–Your design system's canonical content-container width in px (e.g. 1152). When set, the responsive/max-width check flags divergence from this token instead of using the generic 1200px heuristic.
htmlstring–The full HTML content of the page to audit
interactionsarray–Before capturing, fire each interaction in order (hover/click/focus the selector, then wait delay_ms). Captures the resulting dynamic state — e.g. an on-hover theme-toggle wash invisible to a static…
scroll_settleboolean–Before capturing, step through the page with short pauses so IntersectionObserver/whileInView reveals fire, then return to the top and settle. Also plays preload=none videos. Prevents blank-section f…
strictboolean–Strict mode — also flags warnings as failures. Default: false
urlstring–REJECTED on this hosted (remote) endpoint; pass html instead. (Local/stdio: Raven launches headless chromium, renders the page, and audits the RENDERED DOM.)
viewportobject––

No output schema declared.

No examples provided.

audit_parity ~111

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[].

NameTypeReqDescription
androidobjectyes–
checklistarrayyes–
iosobjectyes–

No output schema declared.

No examples provided.

audit_responsive_visibility ~162

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.

NameTypeReqDescription
breakpointsarray–Viewport widths in px. Default [390, 768, 1440, 2160]
urlstringyesURL to render (http/https or file://)
viewportHeightnumber–Render height in px. Default 900

No output schema declared.

No examples provided.

audit_rn ~379

Audit React Native / Expo source (JSX/TSX + StyleSheet) against the iOS HIG + Android Material conventions RN must satisfy. Flags touchables missing accessibilityLabel/accessibilityRole, touchables below 44pt without hitSlop, allowFontScaling={false}, fontSize below ~13, screens without SafeAreaView, and (for multi-mode apps) hardcoded colors with no useColorScheme/Appearance dark-mode handling. Rewards SafeAreaView, hitSlop, Platform-aware code, and a theme. RN-native checks only — no web/CSS or SwiftUI rules. Same return shape as audit_page. (RN renders to native widgets, so audit_ios_screen scores the rendered screen.) Taste-profile bindings are not available on the hosted (remote) endpoint (per-user state is a later phase). Omit 'project'/'profile' to run the stateless React Native audit.

NameTypeReqDescription
color_schemestring–The app's declared appearance (Expo app.json userInterfaceStyle). 'light' or 'dark' means single-mode by design — the dark-mode adaptation check is then suppressed. Default: automatic.
profilestring–Taste profile owning the binding. Omit to search all stored profiles for one bound to the project.
projectstring–Project identifier — resolves a saved taste surface binding (see bind_taste_surface). When the binding carries design_notes, each note is verified against the source (Animated/Reanimated, BlurView, h…
source–yesReact Native source — a single screen/component as a string, or an array of file contents. Concatenated before analysis.
strictboolean–Strict mode — also count warnings as failures for grading. Default: false

No output schema declared.

No examples provided.

audit_screen ~384

Audit a rendered mobile screen (iOS or Android) from a view-hierarchy/accessibility snapshot. Call with no arguments for the expected snapshot shape and how to capture it. Pass platform:"android" to score against the 48dp Material touch minimum and Material muted roles (onSurfaceVariant/outline = warn not fail); default platform:"ios" scores 44pt and treats secondaryLabel/tertiaryLabel as platform-standard. Both score touch targets, contrast, and visual rhythm (alignment, gap consistency, optical balance). Same return shape as audit_page. Taste-profile bindings are not available on the hosted (remote) endpoint (per-user state is a later phase). Omit 'project'/'profile' to run the stateless screen audit.

NameTypeReqDescription
elementsarray–Elements captured from the rendered screen via an accessibility/view-hierarchy snapshot
platformstring–Target platform — 'ios' (default, 44pt minimum, iOS semantic colors) or 'android' (48dp minimum, Material semantic roles)
profilestring–Taste profile owning the binding. Omit to search all stored profiles for one bound to the project.
projectstring–Project identifier — resolves a saved taste surface binding (see bind_taste_surface). When the binding carries design_notes and a screenshot is passed, the screenshot's pixels verify the color-scheme…
screenshotstring–Optional base64 PNG of the screen, for the caller's reference. Geometry is scored from the snapshot, not decoded pixels.
scroll_settleboolean––
viewportobject–Screen size in pt (iOS) or dp (Android) at capture time, e.g. {w:393,h:852} iPhone 15, {w:412,h:915} Pixel

No output schema declared.

No examples provided.

audit_swiftui ~351

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 (remote) endpoint (per-user state is a later phase). Omit 'project'/'profile' to run the stateless SwiftUI audit.

NameTypeReqDescription
accent_color_contentsstring–Optional raw Contents.json of AccentColor.colorset. When provided, the tool verifies AccentColor actually defines color components (flags an empty/undefined accent color as an error).
profilestring–Taste profile owning the binding. Omit to search all stored profiles for one bound to the project.
projectstring–Project identifier — resolves a saved taste surface binding (see bind_taste_surface). When the binding carries design_notes, each note is verified against the source (animation/material/haptic/font A…
source–yesSwiftUI source — a single file/view as a string, or an array of file contents. Concatenated before analysis.
strictboolean–Strict mode — also count warnings as failures for grading. Default: false

No output schema declared.

No examples provided.

audit_tap_targets ~207

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).

NameTypeReqDescription
elementsarray–Pre-collected interactive elements to score without rendering.
minSizenumber–Minimum tap-target size in px on each axis. Default 44.
urlstring–URL to render and measure. Requires headless chromium.

No output schema declared.

No examples provided.

audit_typography ~275

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 checks. NOTE: despite the mention of url above, url mode is DISABLED on this hosted (remote) endpoint - pass nodes instead. audit_typography url-capture is disabled on the hosted (remote) endpoint. Pass a 'nodes' snapshot instead of 'url'.

NameTypeReqDescription
nodesarray–Pre-collected text nodes to analyze without rendering.
urlstring–REJECTED on this hosted (remote) endpoint; pass nodes instead. (Local/stdio: URL to render and measure, http/https or file://; requires headless chromium.)

No output schema declared.

No examples provided.

audit_url ~539

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, ranked by severity. This is the tool that catches real-world visual nits invisible to HTML-string/geometry audits: cropped images, blank videos, hover white-wash, sliced exports, and hidden-on-mobile content. Requires headless chromium. audit_url is disabled on the hosted (remote) endpoint: one run drives a real browser through every requested viewport and theme, and was MEASURED at 95s in its cheapest single-viewport single-theme configuration and past 120s with defaults, which exceeds the per-call budget of the hosted clients that call it. Run it locally instead (npx raven-mcp) where there is no request deadline, or pass the page HTML to audit_page here for a static grade.

NameTypeReqDescription
compactboolean–Drop per-capture base64 screenshots; keep findings, counts, and summary. Default false. Use when screenshots would blow the tool-result budget.
containerMaxWidthnumber–Your design system's canonical container width in px — makes the max-width check token-aware.
includeScreenshotsboolean–Include the base64 full-page PNG per capture in the result. Default: false (screenshots are large).
interactionsarray–Fire each interaction before capture; the resulting state is diffed against baseline to catch hover/click white-wash and obscured content.
scroll_settleboolean–Step through the page with short pauses to fire reveal-on-scroll/IntersectionObserver content, play videos, then return to the top before capture. Default: true
themesarray–Themes to toggle (prefers-color-scheme + data-theme/class). Default: ['light','dark']
timeoutMsnumber–Per-navigation timeout in ms. Default: 30000
urlstringyesURL to render and audit (http/https or file://)
viewportsarray–Viewports to render. Default: iphone 393×852, desktop 1440×900, wide 2160×1200

No output schema declared.

No examples provided.

audit_video_playback ~172

Render a page in headless Chromium and observe whether each <video> actually advances (samples currentTime before/after a play attempt), classifying every clip into playing|paused|stalled|empty|error with a reason. Catches black/non-playing videos that static audits miss — the most common real-world defect on marketing sites with video backgrounds. Pass url to render + observe, or dom_snapshot to classify pre-collected observations without a browser.

NameTypeReqDescription
dom_snapshotarray–Pre-collected video observations to classify without rendering (deterministic path)
observeMsnumber–Milliseconds to wait between currentTime samples after play() attempt. Default: 1000
urlstring–URL to render and observe (http/https or file://). Requires headless chromium.

No output schema declared.

No examples provided.

compose_system ~58

Mix tokens from different design systems to create a custom composite. Example: Linear's colors + Stripe's typography.

NameTypeReqDescription
compositionsarrayyesArray of system-group pairs to compose
formatstring–Output format. Default: dtcg

No output schema declared.

No examples provided.

evaluate_design ~235

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.

NameTypeReqDescription
after_screenshotstring–Base64 PNG of the AFTER state. When both before+after are provided, returns a structured pixel diff with fix_confirmed.
before_screenshotstring–Base64 PNG of the BEFORE state
compactboolean–Return only ids+names for matched principles/patterns (drop their full bodies) plus counts and any before/after diff. Default false. Use when the full principle library payload would blow the tool-re…
contextstring–What the design is (e.g. 'pricing page for SaaS product')
descriptionstring–Description of the design to evaluate
goalsarray–What to evaluate for (e.g. ['conversion', 'accessibility', 'mobile-usability'])

No output schema declared.

No examples provided.

generate_design_system ~265

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.

NameTypeReqDescription
base_systemstring–Start from an existing system as foundation (e.g. 'stripe', 'linear'). Colors will be replaced by brand_color if provided.
brand_colorstring–Primary brand hex color (e.g. '#FF6B35'). Auto-generates a full harmonious palette using color theory.
dark_modeboolean–Generate dark mode tokens alongside light. Default: true
formatstring–Export format: html (visual doc page), css (custom properties), dtcg (W3C JSON), figma (Figma Variables JSON), svg (color palette card), all. Default: html
namestringyesName for the design system (e.g. 'Acme Corp', 'NightOwl')
stylestring–Aesthetic direction — influences spacing, radii, shadows, motion, and typography. Default: minimal

No output schema declared.

No examples provided.

generate_service_blueprint ~255

Render a service blueprint as a self-contained HTML page. Supports two modes: (1) classic Shostack single-actor blueprint — user action, frontstage, backstage, support, evidence, pain/delight; (2) two-actor HI-loop blueprint — when `actors` is supplied, renders two swim lanes with a line of interaction between them (e.g. customer ↔ lawyer, patient ↔ doctor, buyer ↔ agent). Each actor gets their own actions, frontstage (what they see), and evidence. Optionally accepts an ideal-state to render side-by-side with the current state.

NameTypeReqDescription
actorsobject–Omit for classic single-actor Shostack blueprint. Provide to render a two-swim-lane HI-loop blueprint with a line of interaction between the two sides.
currentarrayyesThe current-state blueprint as an array of steps
idealarray–Optional ideal-state blueprint — if provided, output shows current AND ideal side-by-side
service_namestringyesName of the service (e.g. 'Free trial signup', 'Client intake', 'Restaurant reservation')
subtitlestring–Short description or context line under the title

No output schema declared.

No examples provided.

get_brand_principles ~146

Get brand and visual-design principles — logo usage (clear space, min sizes, variants, placement, restraint), gradient usage (hierarchy, palette, contrast, trend vs signature), imagery (consistency, representation, purpose), visual hierarchy, and brand-as-system thinking. Use when the user asks about branding, logos, gradients, imagery, visual consistency, or how to treat a brand across surfaces.

NameTypeReqDescription
formatstring–Output format. Default: full.
topicstring–Filter by topic: 'logo', 'gradient', 'imagery', 'hierarchy', 'system', or a freeform search term. Omit to return all brand principles.

No output schema declared.

No examples provided.

get_brand_system ~157

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.

NameTypeReqDescription
companystringyesThe company whose branding to use (e.g. 'Spotify', 'Stripe', 'Apple', 'Linear', 'Airbnb')
formatstring–Output format: 'css' for CSS variables, 'dtcg' for W3C tokens, 'guide' for full implementation guide. Default: guide
modestring–Color mode preference. Default: based on the system's primary mode

No output schema declared.

No examples provided.

get_brand_trends ~81

Get current brand and visual-design trends — what's working in 2026 and where each trend fits or fails. Includes bento grids, monospace type, neon-on-dark-glass, generative patterns, brutalism rebound, AI-generated imagery, lowercase/mixed case. Each trend is time-stamped — treat as a calibration signal, not a prescription.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

get_business_strategy ~70

Get business and monetization strategies for digital products. Covers monetization models, retention strategies, onboarding optimization, growth mechanics, and product metrics frameworks.

NameTypeReqDescription
stagestring–Company stage for contextual filtering
typestringyesStrategy type: monetization, retention, onboarding, growth, metrics

No output schema declared.

No examples provided.

get_checklist ~144

Get a pre-publish checklist for a specific UI type. Returns actionable yes/no items to verify before shipping.

NameTypeReqDescription
platformstring–Platform context for platform-specific checks. 'ios' = native SwiftUI/iOS (Apple HIG); 'react-native' = RN/Expo (iOS HIG + Android Material: 44/48pt+hitSlop, accessibilityLabel/Role, font scaling, Sa…
typestringyesWhat you're shipping (e.g. 'signup form', 'pricing page', 'dashboard', 'landing page', 'modal')

No output schema declared.

No examples provided.

get_content_pattern ~58

Get content design patterns — copy recipes for error messages, empty-state copy, notifications, and form validation. Returns do's, don'ts, good/bad examples, evidence, and a checklist.

NameTypeReqDescription
typestringyesContent pattern type

No output schema declared.

No examples provided.

get_content_principles ~127

Get UX-writing principles — clarity over cleverness, active voice, error-message anatomy, inclusive language, voice vs tone, and more. Filter by the writing context (e.g. 'error messages', 'notifications', 'form labels').

NameTypeReqDescription
contextstring–What you're writing for (e.g. 'error messages', 'onboarding copy', 'empty state', 'notification'). Omit to get all UX-writing principles.
formatstring–Output format: full (all details), checklist (implications + violations), brief (just summary). Default: full

No output schema declared.

No examples provided.

get_content_system ~105

Get a brand's content design system — voice attributes, tone shifts by context, vocabulary (use/avoid/never), grammar rules, content patterns for errors/empty-states/buttons/etc., and inclusive language guidance.

NameTypeReqDescription
idstringyesContent system ID (e.g. 'conversational-product-voice', 'gov-uk', 'shopify-polaris', 'atlassian')
sectionstring–Return just one section. Default: all.

No output schema declared.

No examples provided.

get_d4d_framework ~69

Get the Design for Delight (D4D) framework templates. Returns customer problem statement, ideal state, hypothesis, LOFA, and experiment templates for structured product thinking.

NameTypeReqDescription
stagestring–Which stage of the D4D loop to return. Default: full (all stages)

No output schema declared.

No examples provided.

get_design_system ~130

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.

NameTypeReqDescription
formatstring–Output format: dtcg (W3C standard), css (custom properties), flat (key-value). Default: dtcg
groupstring–Filter to a token group: color, color-dark, color-light, typography, spacing, radius, elevation, motion
idstringyesDesign system ID (e.g. 'stripe', 'linear')

No output schema declared.

No examples provided.

get_metrics_framework ~132

Get a product-metrics framework — HEART (Google), AARRR/Pirate (Dave McClure), North Star Metric, Conversion Funnel, RICE Scoring, or OKRs. Returns structure, when-to-use, pitfalls, and examples. Use when the user asks 'how should we measure success?' or 'what metrics should we track?'

NameTypeReqDescription
idstring–Framework id (heart, aarrr, north-star-metric, conversion-funnel, rice-scoring, okrs). Omit to list all.
searchstring–Search for a framework by name or summary.

No output schema declared.

No examples provided.

get_pattern ~159

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.

NameTypeReqDescription
goalstring–Filter by primary goal
platformstring–Filter patterns by platform context
typestringyesPattern type (e.g. 'signup-flow', 'pricing-page', 'navigation', 'forms', 'landing-page', 'dashboard', 'modals-dialogs', 'empty-states', 'error-states', 'loading-states', 'cta', 'social-proof', 'mobil…

No output schema declared.

No examples provided.

get_principles ~267

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.

NameTypeReqDescription
categorystring–Filter to category: accessibility, brand, color-systems, color-theory, component-architecture, d4d, gestalt, laws-of-ux, mobile-ux, nielsen-heuristics, research, responsive-layout, service-design, sp…
contextstringyesWhat you're designing (e.g. 'signup form', 'pricing page', 'mobile nav', 'dark dashboard')
formatstring–Output format: full (all details), checklist (implications + violations), brief (just summary). Default: full
platformstring–Platform context. 'ios' returns Apple HIG principles (Dynamic Type, 44pt targets, SF Symbols, safe areas, dark-mode, haptics, App Review privacy); 'react-native' returns RN principles (44/48pt+hitSlo…

No output schema declared.

No examples provided.

get_research_method ~128

Get research method details — qualitative (interviews, contextual inquiry, diary, field, intercept), quantitative (surveys, analytics, A/B tests, benchmarking, clickstream), or usability (moderated, unmoderated, 5-second, card sort, tree test, heuristic eval). Returns specific protocols, do/don't guidance, evidence, and a checklist. Use when the user is designing a study or asking how to measure something.

NameTypeReqDescription
categorystring–Which family of methods. Default: all.
searchstring–Search within methods by name or description.

No output schema declared.

No examples provided.

get_service_pattern ~85

Get a service design pattern — service blueprinting, human handoff, signup-as-service, omnichannel continuity, or moments of truth / recovery. Returns patterns, do/don't guidance, evidence, and a checklist. Use when the user is designing a service flow, escalation, cross-channel experience, or moment of truth.

NameTypeReqDescription
typestringyesService design pattern type

No output schema declared.

No examples provided.

get_service_standard ~59

Get the GOV.UK Service Standard — 14 points the UK government uses to assess whether a public service is ready to launch. Widely applicable as a rigorous service-quality checklist beyond government. Use when the user asks how to evaluate a whole service.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

list_content_systems ~85

Browse available content design systems — brand voice and tone guides (Conversational Product Voice, GOV.UK, Shopify Polaris, Atlassian). Filter by category or search by name.

NameTypeReqDescription
categorystring–Filter by category: commerce-saas, government, marketing-saas, productivity-saas
searchstring–Search by name, description, or tag

No output schema declared.

No examples provided.

list_creative_models ~94

Browse Raven's provider-agnostic creative model catalog. These are capability slots for image, video, 3D, audio, character consistency, and creative analysis. Each entry lists typical inputs and best-for guidance.

NameTypeReqDescription
capabilitystring–Filter by capability, e.g. product-photoshoot, text-to-video, brand-kit, ugc-ad.
media_typestring–Filter by media type.

No output schema declared.

No examples provided.

list_creative_presets ~70

Browse Raven creative presets for product photoshoots, marketplace cards, UGC ads, TV spots, cinematic reveals, social launch packs, storyboards, and infographics.

NameTypeReqDescription
media_typestring–Filter presets by media type.
searchstring–Search preset name or description.

No output schema declared.

No examples provided.

list_design_systems ~86

Browse available design systems for tokens. Filter by category (component-library, consumer, developer, fintech, framework, platform, productivity) or search by name.

NameTypeReqDescription
categorystring–Filter by category: component-library, consumer, developer, fintech, framework, platform, productivity. Saved user systems list under 'user'.
searchstring–Search by name or description

No output schema declared.

No examples provided.

score_creative ~151

Score a creative prompt, script, or ad concept for hook strength, benefit clarity, product signal, call-to-action, channel fit, audience fit, and brand fit. This is a transparent heuristic, not a proprietary prediction model. Local brand profiles are not available on the hosted (remote) endpoint (per-user state is a later phase). Omit 'brand_profile_id' to score the pasted creative statelessly.

NameTypeReqDescription
audiencestring–Target audience if not in a brand profile.
brand_profile_idstring–Local Raven brand profile ID.
channelstring–Target channel.
creative_textstringyesPrompt, script, ad copy, or creative concept to score.

No output schema declared.

No examples provided.

score_page ~277

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 url-capture is disabled on the hosted (remote) endpoint. Pass the page HTML via the 'html' argument instead.

NameTypeReqDescription
containerMaxWidthnumber–Your design system's canonical content-container width in px (e.g. 1152). Forwarded to the responsive/max-width check.
htmlstring–The full HTML content of the page to score.
strictboolean–Strict mode — count warnings as failures in the overall score. Default: false.
urlstring–REJECTED on this hosted (remote) endpoint; pass html instead. (Local/stdio: Raven launches headless chromium, renders the page, and scores the RENDERED DOM.)

No output schema declared.

No examples provided.

search_knowledge ~85

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.

NameTypeReqDescription
layerstring–Which layer to search: principles, patterns, business, or all (default)
querystringyesSearch term (e.g. 'touch targets', 'pricing psychology', 'color contrast')

No output schema declared.

No examples provided.

suggest_contrast_fix ~163

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.

NameTypeReqDescription
levelstring–WCAG level when targetRatio is not given per-pair. Default AA.
pairsarray–Color pairs to remediate. Each: { selector?, fg, bg, fontPx?, bold?, targetRatio? }. fontPx/bold pick the large-text threshold; targetRatio overrides the level.

No output schema declared.

No examples provided.

Install

How do I install the Raven MCP server?

Raven is a hosted endpoint at https://mcp.ravenmcp.ai/api/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · mcp.ravenmcp.ai

# add to Claude Code
claude mcp add --transport http ai-ravenmcp-raven-mcp 'https://mcp.ravenmcp.ai/api/mcp'
Common questions

What is the Raven MCP server?

Raven is an MCP server listed in the public MCP registry as ai.ravenmcp/raven-mcp. Design intelligence for coding agents: audits, design systems, and a taste profile agents consult. This page covers its hosted endpoint (https://mcp.ravenmcp.ai/api/mcp).

Is the Raven MCP server safe to use?

Raven scores 87 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Raven MCP server expose?

Raven exposes 45 tools: get_principles, get_pattern, get_business_strategy, evaluate_design, search_knowledge, and 40 more. Their descriptions and schemas cost roughly 8,416 tokens of context every time the server is loaded.

Does the Raven MCP server require authentication?

No. We connected to Raven without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the Raven MCP server still maintained?

Raven is still listed as active in the MCP registry. We last reached this channel on 4 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.