MCP server
Screenrove Official
com.screenrove/screenrove
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Real product UI captures for design reference, competitor analysis, and coding agents.
Working at last checkVerified publisher: screenrove.comAbout 7,752 tokens per request once connected22 tools
https://screenrove.com/mcp
At a glance
- Type
- MCP server
- Publisher
- screenrove.com (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 22
- Token cost
- About 7,752 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http screenrove https://screenrove.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.screenrove] url = "https://screenrove.com/mcp"
Gemini CLI
{"mcpServers":{"screenrove":{"httpUrl":"https://screenrove.com/mcp"}}}
Cursor
{"mcpServers":{"screenrove":{"url":"https://screenrove.com/mcp"}}}
VS Code
{"servers":{"screenrove":{"type":"http","url":"https://screenrove.com/mcp"}}}
Antigravity
agy mcp add screenrove https://screenrove.com/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"screenrove","server_url":"https://screenrove.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"screenrove","server_url":"https://screenrove.com/mcp"}
Tools
build_handoff~422 tokens
Generate a complete build prompt for a coding agent: ordered screens with notes, observed transitions, links to up to 10 agent-sized images (1x copies and page-section crops, never taller than 8000px, each with its pixel size), the measured design guide, and an implementation checklist. This is thebuild_recipe~550 tokens
Combine specific screens from different products, plus one visual style, into a single build brief. Each screen contributes one thing (say what with "id: what to take"); structure comes from the screens and every visual token comes from the chosen style, so conflicting looks are resolved instead ofcheck_my_ui~677 tokens
Compare the user's UI structure against Screenrove's catalog of real products. Describe what the user has (screen type, sections, flow steps, plan count) and get a report showing the closest real-world references with factual comparisons. Use only the fields the user provides; leave out personal nacompare_screens~381 tokens
Compare two captured screens side by side: layout structure, page sections, observed actions, dimensions, screen types, and design guide differences. Returns a structured comparison with similarities, differences, and factual observations. Use this when the user wants to understand how two productsfind_related_screens~288 tokens
Find 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 result says why it matched. Use this after finding one good reference, to show the user how otget_design~212 tokens
Get the measured design guide for a product: observed font families, color palette, type scale, layout patterns, spacing values, and component observations. Marketing site and product UI are measured separately. Use this when you want to match a competitor's design system, understand their visual lget_flow~192 tokens
Get the complete onboarding flow for a product: every step in order with titles, notes on what happens, observed transitions (button labels and where they lead), and which steps are alternate branches. Includes the handoff reference id to use with buildHandoff. Use this to study how a competitor stget_motion~254 tokens
Get one motion entry as a build prompt: what moves and how (every property, duration, easing curve or spring, delay and trigger), why it feels good, what a rebuild must keep, Screenrove's working vanilla HTML/CSS/JS implementation, and the original source code when its license allows. Values are marget_motion_guidelines~137 tokens
Get house rules for UI motion (durations, which easing for enter and exit, springs, what to animate, reduced motion) with citations, plus ready-to-use duration and easing tokens, the motion library's sources and its category and trigger vocabulary. Read this once before adding animation to an interget_product~165 tokens
Get a product's full collection: coverage notes, design summary, and every captured screen grouped into onboarding flow, marketing pages, and in-product screens. Use this to explore a competitor's complete UI: their signup flow, pricing page, dashboard, settings, and other screens. Each screen hasget_screen~158 tokens
Get everything recorded about one screen: notes on what it does and how it's laid out, source URL, image URLs and dimensions, observed actions and where they lead, and page sections for long marketing pages. Use this to understand a specific UI pattern in detail before building something similar.get_screen_image~214 tokens
Get the actual screenshot so you can see the UI. For marketing pages taller than 4000px, preview returns only the first screen (above the fold); use size=full for the whole page, which can exceed what vision models accept. getScreen lists the page's sections with their y offsets so you know what's blist_flows~193 tokens
List every captured user journey: onboarding flows, signup sequences, checkout processes, booking flows, and marketplace explorations. Shows step counts, flow type, and observed transitions between steps. Use this to find complete user journey references—not just individual screens—so you can see hlist_products~152 tokens
List every product in the UI reference catalog with its capture date, tags, coverage notes and screen counts. Start here to see what competitor products, design systems, and UI patterns are available. Products include: Linear, Cursor, Vercel, Airbnb, Stripe, Duolingo, Notion, Raycast, Cal.com, Framlist_tags~145 tokens
List 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 searchScreens or pickReference, e.g. pattern=board-view or state=empty.name_patterns~354 tokens
Summarise how real products are named: each naming pattern with its share and examples, the commonest TLDs, domain styles, length and syllable distributions, and a per-category table (top TLD, share on .ai, share on the exact .com, top pattern, average length), with plain-language highlights such aspick_reference~532 tokens
Show the user several matching UI references side by side in their browser and let them click the one to build from. Returns a URL to open for them. Prefer this over sending full-page images whenever the user should decide which reference to use. The picker shows real screenshots at scroll depth sosearch_logos~583 tokens
Search the logos of the products in Screenrove's library, as references for designing a logo or app icon. Each logo is the product's own mark as its site serves it (SVG icon, apple-touch-icon or large favicon; never redrawn), linked to its collection, with observed traits: mark type (symbol, lettermsearch_motion~515 tokens
Search the motion library: polished UI animations and micro-interactions (button presses, toggles, toasts, number tickers, thinking states, hover effects, interaction sounds) curated from open-source component libraries and designers' recordings. Each entry has a precise motion spec (properties, dursearch_names~675 tokens
Search about 700 real product names - Screenrove's library plus a curated list of products on Mobbin and Refero - each with its domain and TLD, category and derived traits: naming pattern (real-word, compound, blend, altered, suffix, prefix, acronym, alphanumeric, person-place, brand-extension, invesearch_screens~748 tokens
Search the UI reference catalog by design problem and keyword. Every screen is tagged on four facets: task (what the person is doing), pattern (screen archetype), component (building blocks) and state (empty, filtered, error...). Filter by any of them; commas mean OR within a facet and different facwait_for_pick~205 tokens
Wait for the user to choose on the pick page. Long-polls up to 50 seconds—returns as soon as they click, or status "pending" after the wait (call again if so). Once chosen, returns their reference with its screenshot and a full build prompt, so you can start building from it immediately. If they cl
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