Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Beschreibung vom Entwickler (englisches Original)
Real SaaS UI screenshots for coding agents: onboarding flows, pricing pages, design inspiration.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
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Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Funktioniert in Claude im Web, auf dem Desktop und auf dem Handy:
https://screenrove.com/mcpFühre das in deinem Terminal aus
claude mcp add --transport http screenrove https://screenrove.com/mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"screenrove": {
"url": "https://screenrove.com/mcp"
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"screenrove": {
"type": "http",
"url": "https://screenrove.com/mcp"
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
ChatGPT verbindet sich nur mit Servern im Internet:
https://screenrove.com/mcpMenünamen können sich je nach Tarif und mit der Zeit leicht unterscheiden.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Tool-Namen und -Beschreibungen genau so, wie der Server sie am 6. Nov. 2026 gemeldet hat. Geschrieben hat sie der Entwickler, nicht wir; wir zeigen sie als reinen Text.
build_handoffBuild one product's reference as a complete prompt: ordered screens with notes, observed transitions, links to up to 10 agent-sized images (1x copies and section crops, each with its pixel size), the measured design guide and an implementation checklist; the same prompt as the si
build_recipeThe best way to build from references, with or without a person: pass 2 to 6 screen ids from search_screens (each "id: what to take from it") and get one Markdown brief with the screenshots attached at 1x (section crops for long pages), measured component sizes, the page structur
check_my_uiCompare the user's UI structure with the closest real products. Describe what they have (screen type, sections, flow steps, plan count; no personal names, prices or customer data) and get factual comparisons, not recommendations: plan counts, section order, blocks the references
compare_pricingA fact table of 2 to 8 captured pricing pages, for research rather than building: per product, plan names and prices, cheapest paid plan with currency, monthly/yearly toggle and saving, free plan, trial, seat model, enterprise tier, notable limits, captured date and page url, plu
compare_screensCompare two screens side by side (screen types, page sections, observed actions, dimensions, plan counts), e.g. Linear's pricing page with Stripe's, or one screen against a description of what the user is building (targetDescription).
find_related_screensFind screens from other products that solve the same design problem as this one: same primary pattern first, then shared tasks, states and components (rarer tags count more). At most two per product; each says why it matched, and a dark-theme copy folds into its row as variants.
get_designGet a product's measured design guide: fonts, colour palette, type scale, layout and component observations, measured separately for its marketing site and product UI. Use it for "make it look like " or "trustworthy like ": take the tokens from here and the structure from its scr
get_flowGet a product's captured flow: every step in order with title, notes, page url, observed transitions (button labels and where they lead) and which steps are alternate branches, plus the handoffId for build_handoff. Use it to study how a product structures signup, onboarding or a
get_motionGet one motion entry as a build prompt: what moves and how (every property, duration, easing or spring, delay and trigger), why it feels good, how to adapt it to another size, the accessibility it needs, Screenrove's vanilla HTML/CSS/JS and the original source where its license a
get_motion_guidelinesHouse rules for UI motion (durations, enter and exit easing, springs, reduced motion) with duration and easing tokens and the library's categories and triggers. Read it once before adding animation.
get_productGet one product's collection: what was captured (coverageLabel, coverage, captureNote) and every screen, grouped into flow, marketing and product, one line each (id, title, primary pattern, page url). detail=full adds each screen's notes and tags. Use it to explore a competitor's
get_screenGet everything recorded about one screen: notes on what it does and how it's laid out, product, captured date, page url, source URL, dimensions, observed actions and where they lead, and page sections for long marketing pages. The notes are not the screen: call get_screen_image w
get_screen_imageSee the screen; call it on your top picks before writing UI. preview (default) is 1x, so 1 image px = 1 CSS px (the top of a long page). The text gives its pixel size and a long page's sections: section=N returns one as a 1x crop. size=full is the original (often 2x), refused abo
list_flowsList captured user journeys (signup and onboarding, checkout, booking, search, marketplace, and task flows such as building a board) with step counts and flow type, 40 at a time. A flowType marked typeInferred was read from the flow's first steps; flows with no type are left out
list_productsList the 191 products in the catalog, one compact line each: id, name, category, a one-line coverageLabel saying what was captured (signed in or logged out only), screen counts and page url. Paged (50 by default) and filterable by category or q; the first page also counts product
list_tagsList the tag vocabulary for searching by design problem: four facets (task, pattern, component, state), each tag with its definition, aliases and how many screens carry it. Use the ids with search_screens or pick_reference, e.g. pattern=board-view or state=empty.
name_patternsHow real products are named: pattern shares with examples, TLDs, domain styles, length and syllables, a per-category table and highlights such as the share of AI tools on .ai. Takes search_names' filters for one slice. Use it before proposing names.
pick_referenceShow a person 2 to 6 matching references side by side in their browser and let them click the one to build from. Returns a URL to open for them; then call wait_for_pick with the pickId for their choice and a build prompt. Only when a person is there to choose: autonomous agents s
search_logosLogo references for designing a logo or app icon: each library product's own mark as its site serves it (never redrawn) with mark type, colours, shape, letter case, brand font and category, e.g. "lettermarks on a rounded tile", "green symbols". Logos are trademarks of their owner
search_motionSearch the motion library: UI animations and micro-interactions (button presses, toggles, toasts, number tickers, check-offs, thinking states, hover effects, sounds) from open-source libraries and designers' recordings, each with an exact spec and most with vanilla code. Any word
search_namesNaming ideas grounded in about 700 real product names, each with domain, TLD, category, naming pattern, length, syllables, casing and domain style (getX.com, Xhq.com…), plus stats for the whole match, e.g. "short invented names for AI tools on .ai". Traits are heuristics; check t
search_screensFind screens by design problem and keyword, e.g. "pricing page like Stripe", "settings", "empty project list". Every screen is tagged on four facets: task, pattern (screen archetype), component and state. Commas mean OR within a facet, facets combine with AND, e.g. pattern=list-v
suggest_polishGiven the parts of a UI (elements, a description, or Screenrove screen ids; from a screenshot, list the parts you see), returns motion entries and sounds that would improve each part, plus new touches it doesn't have yet (additions), not only replacements. Then get_motion each on
wait_for_pickWait for the person to choose on the pick page. Long-polls up to 50 seconds and returns as soon as they click, or status "pending" (call again). Once chosen: their reference with its screenshot attached and a full build prompt. "dismissed" means none fit: ask what they want. A pi
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Die Registry nennt kein Quell-Repo, deshalb können wir den Herausgeber (screenrove.com) nicht dem Code zuordnen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
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Wir haben 24 Tool-Beschreibungen gelesen und keine versteckten Anweisungen an die KI gefunden
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 2 von 3 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft in der Cloud des Entwicklers. Du verbindest dich übers Internet, ohne etwas zu installieren, aber was du sendest, läuft über die Server des Entwicklers.
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (1.8.0) kam vor 7 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Er verbindet sich per URL, also funktionieren auch Apps, die Remote-MCP-Server akzeptieren, zum Beispiel ChatGPT im Entwicklermodus.
In derselben Kategorie: Figma Context MCP, Claude Real Video, Figma MCP Server
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
The Figma MCP server brings Figma design context directly into your AI workflow.
Keine README im Repo gefunden