I gave my AI access to 600,000 real app & web screens. Here's the workflow: 1. Connect @mobbin MCP to your AI (I used Claude, works w/ Codex, Cursor, Antigravity too) 2. Ask it to research how top apps in your industry design what you're building (eg. fintech onboarding) 3. Ask it to compile the findings into a visual report 4. Build, but give it context first: Attach the report, a spec or PRD, your design system the result - without the MCP: generic output - with the MCP: Claude picks up the industry context, sees the end-to-end flow, considers the edge cases. Think of Mobbin MCP as a librarian, not a designer. It hands your agent a library card to 600K+ real screens, full flows and animations from products already shipped. Your agent sees what good looks like, then gives you a starting point to build on. here's the full workflow + detailed prompt 🔍 'mobbin' on youtube

We studied 2,995 paywalls. Interviewed 'The Paywall Guy' @jondeparra, who's designed 4,700+ paywalls. Analyzed 728 subscription flows on @mobbin. We found these and more: → An ugly paywall could outperform a pretty one → More friction could increase conversions → Users often decide to pay before they reach the paywall → Multi-page paywalls > single-page paywalls In this video, we break down: → real a/b tests → examples from best-in-class apps → paywall placement strategy → pricing + packaging → value framing → reducing risk → timing → copy This is one of the most research-heavy videos we've made. 🔍 'mobbin' on youtube

while everyone debates whether AI will replace designers, designers are using it for everything but generating UI. 5 ways to use @mobbin mcp as a context engine (no slop), for @dribbble

when @ManusAI meets @mobbin, the hardest part is picking which use case to show first. competitive teardowns, pricing audits, a retro digicam app from scratch...we had fun with this one. click through for prompts 👇

"How do the top products handle this?" Every builder has asked this, and it usually means a week of screenshots and a shared doc. Give @ManusAI access to @Mobbin and it does the research for you, and more. Go from: — KYC onboarding across 10 fintech apps → stakeholder deck — Camera app research → working retro digicam prototype — Pricing page audit → annotated recommendations on your design — 10 language learning apps → competitive pattern atlas Save this thread.

ICYMI: we now have 3 tools to search across 3 types of content on @mobbin mcp - search_screens: search for app screenshot reference for ios/web - search_flows: search for app screenshot sequences for ios/web - search_sections: search for snippets of section on websites such as marketing pages, landing pages, etc.

Mobbin MCP is here. Think of it as giving your AI a library card to 600k+ screens & 300k+ flows. Paywalls, onboarding, checkout, permissions — from apps that already shipped. Works with Claude, ChatGPT, Cursor, and more. Available on all paid plans:

just launched: @mobbin mcp 💛 your AI agents can now search 600,000+ real app screens. paywalls, onboarding, checkout, permissions — from apps that already shipped. ai tools can write code. they just don't know what good looks like. now they do. 👉

got @claudeai to design a banking kyc flow using the @mobbin mcp with just 3 messages. what it did under the hood: 1️⃣ search mobbin for top banking app's kyc screens 2️⃣ analyse and enumerate common industry/domain specific patterns observed 3️⃣ build UI using those patterns