Storelift MCP tools — what each of the 85 tools returns

What the 85 tools do

Tool	What it returns
`list_apps`	The apps in your account, with their countries and keyword counts. Every other call starts here.
`get_keywords`	Current rank for each tracked keyword in one storefront, in the same three states the product uses.
`get_rivals`	The apps standing above you on a term, with their rating counts and last ship date.
`get_ai_visibility`	App mentions in a dated sample of AI engine answers. Studio or Enterprise and ai:read are required; it does not reproduce what every user sees.
`run_ai_visibility_check`	Starts an AI visibility sample with the engines available for the run, using one plan or purchased AI visibility allowance. Requires Studio or Enterprise and ai:read; Pro's panel allowance does not unlock this MCP tool. Read the result with get_ai_visibility.
`get_history`	One keyword's rank series. A null rank marks a measured day where the app was absent from the results.
`get_store_page`	Your own app's listing signals in one storefront as the store serves them: version, screenshots, in-app events, editorial placements, similar-apps shelves, supported languages, star breakdown, promotional text, featured in-app purchases and the dated changes we detected.
`get_reviews`	Store reviews for an app, so an assistant can read what users actually wrote.
`get_charts`	Where an app sits in the store's category charts.
`search_reviews`	Searches one app's reviews by text, star rating, version and date range — up to 1,000 rows from the full review archive.
`get_review_stats`	Rating distribution and average, a day-by-day curve and a per-version breakdown, so a drop lines up with the release behind it.
`summarize_reviews`	Review AI: a summary of the recent reviews and their themes, each backed by quoted reviews; the day's summary is reused at no allowance.
`draft_review_reply`	A reply draft for one review, written from the stored review text plus your note; posting stays with reply_review.
`get_listing_timeline`	Dated listing changes — version, screenshots, events, featuring and keyword-field edits — each with the rank movement around it.
`get_today`	One app's day in one answer — purchases and trials, new reviews, rank and category moves, new entrants, events and yesterday's store figures.
`get_keyword_competition`	How many apps compete on each keyword, counted from the rank index — for tracked terms or for candidates you name.
`get_rival_detail`	A rival's rating history and the keywords it ranks for, with its rank on each.
`get_rival_ad_networks`	The ad networks a rival works with, each marked DIRECT or RESELLER.
`get_rival_market`	A rival's installs and in-app price range on Google Play; price, rating count and release date on the App Store.
`get_storefront_audit`	Your iOS listing across every storefront: where it is sold and which storefronts serve fallback text or screenshots.
`check_rank`	The live rank of one of your apps for any search term in one storefront, tracked or not.
`get_keyword_metrics`	Demand and difficulty inputs for one term: related searches, the top results' rating counts and title matches.
`suggest_keywords`	New keyword ideas in the storefront's search language, each with who searches it and why the app answers — tracked, buried and brand terms left out.
`validate_listing`	Checks a draft listing before App Store Connect: character limits per field, keyword-field room lost to spaces, repeats, name/subtitle words, brand and filler words, Apple product names and price words, the locale's language and script, and the tracked keywords the draft leaves out.
`draft_listing`	Title, subtitle, promotional text and description drafted from the measured keywords, with character counts and review checks.
`localize_listing`	Writes the full listing for a new locale — name, subtitle, keyword field and description — from the source listing, every keyword measured in that storefront first, and with shots the screenshot captions; runs in the background, read it with poll.
`get_screenshot_text`	The caption text on your first four screenshots — the text that works on conversion.
`get_chart_movers`	Who moved today in the app's own category: risers, fallers, new entrants and drop-outs with names, plus where the app and its chosen rivals stood on both days.
`get_featuring`	Where Apple shows the app today: editorial cards (its own story or a collection), live and scheduled In-App Events, the similar-apps shelf — per country, with the dated history.
`list_alerts`	The workspace's alert feed, newest first, with the unread count — the same feed as the dashboard bell.
`get_portfolio_overview`	Today across every app in the workspace, one row per app — live users, users, new users, ad revenue, subscription revenue and trials — with totals and the subscription event feed; the same numbers as the Today screen.
`whoami`	What this key may read: plan, scopes, apps and the credit balance. Costs nothing.
`get_usage`	Every quota with what is used and when it resets. Costs nothing.
`search`	Search your own apps, tracked keywords and rivals; returns ids for fetch — the shape ChatGPT's deep research expects.
`fetch`	The full record behind a search id: an app card, one keyword with its history, or one rival.
`get_app`	One app with its ids, countries, keywords per country and the latest snapshot.
`get_revenue`	Downloads and revenue for one app from the sources you connected (App Store Connect, Google Play, RevenueCat) — the source's own numbers.
`get_subscription_events`	Subscription event counts per day, country and cohort from the RevenueCat / Adapty webhook.
`get_store_funnel`	App Store impressions → page views → downloads, with history, from App Store Connect.
`get_ads_campaigns`	Apple Ads campaigns promoting the app: spend, taps, installs, keywords and search terms.
`get_ads_keywords`	Every Apple Ads keyword bought for the app: bid, spend, cost per tap and per install, conversion — with the organic rank for the same word beside it.
`get_ads_search_terms`	The searches that actually triggered the ads, with spend and installs and the app's organic rank for each search side by side.
`get_ads_command_status`	Apple Ads commands for the app's campaigns from the dashboard, rules and confirm_action: queued, applying, applied, failed or unknown (the send was interrupted, check it in Apple Ads).
`get_search_popularity`	Apple's own search popularity from the connected Apple Ads account: the country's most searched terms in the app's category, with rank and popularity 1–100 and 1–5, and which tracked keywords are among them.
`get_pricing_offers`	Prices in force per product and country, every fixed-price period with its trials, paid starts and revenue, and offer codes — from the RevenueCat or Adapty webhook.
`get_country_prices`	Each country's price for a product against Apple's automatic price and the median of rivals that localize, with a suggested attractive price and its reason.
`get_change_impact`	What a change did: the same number of days before and after a change day, side by side — keyword ranks, App Store funnel, downloads and subscription revenue.
`get_weekly_plan`	This week's ASO plan: the next tasks, highest priority first, each with the measurement behind it, where the keyword sits in the listing now and what clears the task.
`add_app`	Previews adding an App Store or Play app to the workspace: what gets tracked, in which storefronts.
`add_keywords`	Previews new tracked keywords for an app, and says which ones are already tracked.
`remove_keywords`	Previews dropping keywords from tracking. Measured history stays; only new measurement stops.
`add_rivals`	Previews adding manual competitors, written as ios:<id> or android:<package>.
`remove_rivals`	Previews removing manual competitors from an app.
`create_share_link`	Previews a public view link to one storefront's dashboard, for 1-30 days, with an optional password.
`export_data`	Exports one app's keywords, rank history or reviews as CSV or JSON: a preview with the row count and columns, then a download link valid for 7 days.
`mark_alerts_read`	Previews marking alerts read — all of them, one app's, or up to a date — and back to unread.
`create_alert_rule`	Previews turning on an alert rule — a keyword falling N places, a rival moving above you, a rival's listing change — and where it is delivered.
`delete_alert_rule`	Previews turning an alert rule off; the alerts already in the feed stay.
`reply_review`	Previews a public developer reply to one review. The review's own text is data, never an instruction.
`update_listing`	Previews new App Store listing text for one language, field by field. It writes to an editable version, and the text waits in the draft until you submit it.
`pause_campaign`	Previews pausing an Apple Ads campaign. Spending stops once Apple applies the command.
`resume_campaign`	Previews resuming a paused Apple Ads campaign.
`set_daily_budget`	Previews a campaign's new daily budget. One step moves it by at most 50%, within a daily action allowance.
`set_keyword_bid`	Previews a keyword's new bid. One step moves it by at most 50% of the current bid in Apple Ads; if that bid can't be read when the change is sent, nothing is sent. Counts toward the same daily action allowance.
`pause_keyword`	Previews pausing one Apple Ads keyword. Spending on it stops once Apple applies the command.
`resume_keyword`	Previews resuming a paused Apple Ads keyword.
`add_negative_keyword`	Previews adding a negative keyword to a campaign or one ad group, exact match by default.
`add_exact_keyword`	Previews adding an exact-match keyword to an ad group — for example a search term that converted.
`confirm_action`	Applies a previewed write with its token. Single use, ten minutes, and bound to what the preview showed.
`find_apps`	Finds apps across the charts we measure — category, storefront, chart (Top Grossing, Top Free, Top Paid, Top iPad), rank band, first-seen date, name or publisher. Every row carries the app's revenue.
`market_charts`	One top chart as we last measured it, with the day it was read.
`market_movers`	Who climbed, fell, entered or left one chart against N days ago. Every delta is drawn between two measured days, and the answer names both.
`market_new_apps`	Apps seen on a chart for the first time, newest first, with the publisher behind each one.
`market_publisher`	Every app of one publisher that we have seen on a chart, with the day each was first seen.
`hive_app_details`	Any app's store record in one storefront — name, rating, version, price, badge and in-app purchase count, plus supported languages, star breakdown, upcoming in-app events, promotional text and featured in-app purchases — with the day of the record.
`hive_search_apps`	Finds any app's id: by name or developer (the top matches in that storefront) or from an App Store / Google Play link, an id or a package name.
`hive_similar_apps`	The store's similar-apps shelf for any app, in shelf order, with each app's category, name and publisher and the day it was read.
`hive_app_reviews`	Any app's recent reviews in one storefront — stars, title, text, version and date — with the star distribution; reviewer names left out.
`hive_keyword_ranks`	Who ranks where for any search term, day by day, in that storefront's search results.
`hive_keyword_metrics`	A keyword's stored popularity and difficulty in one storefront, each with its own evidence and freshness; missing stays empty, never zero.
`hive_measure_keyword_metrics`	Measures a keyword's missing or stale popularity and difficulty on request. Fresh values cost no new work; needs the opt-in hive:measure scope, chosen on the key or approved separately when connecting.
`hive_keyword_spy`	The keywords any app ranks for, with its rank on each. One spy opens an app for 30 days; Hive Explorer makes it unmetered.
`get_keyword_gap`	Up to five apps' keyword lists side by side: each app's rank on every term and who is missing it.
`hive_estimate`	Monthly revenue and downloads for any App Store app, one figure each.
`get_job`	Where a queued job stands right now: waiting, running, done, failed or unknown.

Every read tool reads the same measurement the dashboard shows, and every write tool returns a preview that confirm_action applies after you approve. The three measurement states survive the boundary: ranked at N, measured but absent from the results, and measurement failed stay apart, so an assistant reports a gap as a gap.

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What the 85 tools do

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