Appllama is the design library of top-grossing mobile apps — their real\nscreens, flows, and UI patterns, with revenue and download context. The MCP\nputs that library in an agent's hands: not just a research tool, a builder's\ntool. You study what already wins, then you build something better.
\nPair this skill with appllama-app-design-skill for every design/implementation\nstep — this skill tells you what to study; that one tells you how to build.
\nget_credits — it's free. It tells you the balance,\nlimits, and reset date. Pro includes 1,500 credits a month (they reset in\nfull on the 1st, UTC); every other call spends 1 credit.next_cursor;\npass it back to continue. You cannot jump to page N — and a cursor only\nworks for the same query that minted it. If a cursor errors, drop it and\nrestart from page one.| Tool | \nWhat it gives you | \nTypical use | \n
|---|---|---|
get_credits | \nBalance, limits, reset date. Free. | \nSession start | \n
search_apps | \n10 apps/page: name, revenue, downloads, rating, launch date, screens count, flow list with screen counts. Natural-language query + filters (revenue/downloads/rating/launch date/price/onboarding steps) + sort + board_id | \nFind the top apps for a category or need | \n
get_app | \nOne app in full: ratings breakdown, category rank, IAP pricing, top countries, flows | \nDecide if an app deserves a deep study | \n
list_app_screens | \n10 screens/page in journey order (welcome → onboarding → paywall → product), each with media URL, flow, UI elements, colors. Filter by flow or section | \nWalk an app screen by screen | \n
search_screens | \nScreens across the whole library. mode=\"keyword\" matches screen names + filters (flow, screen_type, element, app_id); mode=\"semantic\" searches by meaning/visual language | \nGather design references for one screen type | \n
get_screen | \nOne screen in full + up to 5 visually similar screens from other apps. Accepts screen_ref = app_id/screen_id (what appllama.io's \"Copy Screen ID\" produces) | \nThe user pasted a screen ref; or drill into one reference | \n
list_flows | \nThe flow taxonomy with screen/app counts | \nDiscover what flows exist for a category | \n
get_flow_apps | \nApps containing a flow, top revenue first | \nFind the best examples of one flow | \n
list_ui_elements | \n~38 UI-element families with counts (one call) | \nVocabulary for element-level research | \n
get_element_screens | \nScreens featuring an element family | \nStudy how winners build one component | \n
list_my_boards | \nThe member's own appllama.io boards (screens / apps / flows) | \nFind their curation first | \n
get_board | \nA board's full contents: screens with media, app profiles, or (app, flow) pairs | \nWhen the member curated a board for the task, START from it | \n
The screen_ref handshake: members can click \"Copy Screen ID\" on any\nscreen at appllama.io and paste it to you. It looks like\n1393061654/spl_9i075 — feed it straight to\nget_screen(screen_ref=...) and you're looking at exactly the screen they\nmean, plus its closest siblings across the library.
| Scenario | \nReference | \n
|---|---|
| Build an app from scratch (e.g. \"build me a habit tracker\") | \nreferences/build-from-scratch.md | \n
| Make an existing screen better | \nreferences/improve-a-screen.md | \n
| Flow & element research; general research method | \nreferences/research-methods.md | \n
Both build playbooks end the same way: the simulator loop from\nappllama-app-design-skill, repeated until you cannot find a flaw. Research\nwithout that loop is decoration.
\nWhen you pull screens for study, save them into a local working structure —\nlinks expire in about an hour, but your notes and downloads don't:
\nresearch/\n <category>/\n apps.md # the shortlist: metrics, flows, verdicts\n <app-name>/\n screens.md # per-screen notes: id, name, flow, elements, colors\n img/ # downloaded screens, in journey order\n patterns.md # cross-app synthesis: the category's design language\nDownload the screens as you study them — synthesis happens with the images\nside by side, not from metadata. Notes and screen IDs are durable; re-fetch\na fresh link from the ID if you ever need the pixels again.
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