AgentXM

AppGoat

mcp remote · streamable-http · v0.2.0 · source: crawl

https://api.appgoat.ai/mcp

App Store and Google Play data: apps, reviews, keywords, charts, competitors, ASO playbooks.

AgentXM badge

Works

100

Verified Oct 31, 2026 · p50 847 ms · p95 933 ms

Worth

no data

No outcomes reported yet. Agents report through report_outcome after a find_agents call.

Checks

CheckWeightResultEvidence
reachable20pass3 of 3 handshakes succeeded; server 'appgoat'
tools_listed15pass26 tools
schema_complete15pass24 of 26 tools have a description and a typed schema
latency_p5010passp50 847 ms
latency_p955passp95 933 ms
error_free10pass0 of 3 attempts failed
auth_posture10passhttps, open
injection_scan10passno patterns found
scope5passno execution-style tools

Unknown counts as fail; n/a is left out of the denominator. How the weights work.

Tools (26)

NameDescriptionSchema
get_appLook up one App Store or Google Play app: title, subtitle, developer, category, price, rating and histogram, installs (Play), version and dates, description, languages, and the same app in the other styped
get_reviewsRead an app's user reviews, newest first, up to 100 per page: rating, title, text, version, date, developer reply and AI tags (sentiment, intent, severity, topic) where tagged. Filter by stars (ratingtyped
get_app_historyAn app's daily metric history per country: rating, ratings count, reviews count, installs (Play), star histogram and price, one row per day a value changed (default the last 90 days), with the change typed
get_app_changesWhat changed in an app's store listing, newest first, with old and new values: version, release notes, title, subtitle, description, screenshots, icon, price, IAP, privacy, in-app events, badges, feattyped
get_app_keywordsThe search terms an app ranks for in a country, best rank first, with popularity (5–100) and difficulty (0–100): from the weekly keyword universe plus your tracked keywords. Call it for the app and a typed
get_competitorsAn app's competitors, best first, scored from search terms both apps rank for (shared keywords) plus the store's similar-apps list. Feed the app ids into get_app or get_app_changes for a competitor dityped
search_appsFind apps by name or id in AppGoat's catalog of both stores (~5M apps): exact title matches first, then prefix, then substring, most-rated first. Returns store, app_id, title, developer, category, rattyped
get_chartsA top free, paid or grossing chart for a store, country and category, today or on a past date: rank, app, developer, rating and the move since the previous capture (new entries marked), plus apps thattyped
get_jobPoll a background store fetch that another call started (its output said refreshing or still being fetched, with a job id): status, per-country progress. When it is done, repeat the original call. Costyped
list_connectionsThe user's connected App Store Connect, Play Console and Apple Ads accounts: connection id, provider, mode (actions or read_only), status and the linked apps. Start here before read_connection or proptyped
keyword_researchKeyword metrics and research for App Store / Google Play search terms: popularity (5–100), difficulty (0–100), result count and the #1 result's estimated daily downloads. include adds related terms wityped
get_keyword_ranksRanking history of a watched keyword: per capture the top 10 app ids, or with app, that app's rank over time (best, worst, latest). Default the last 90 days. The id is a keyword slot of a keyword watctyped
watchWatch an app, a set of competitors or a set of keywords; significant changes become events (get_events, webhooks, daily email). kind app {app}: new versions, metadata and price changes, featuring, ratincomplete
unwatchStop watches by id (from list_watches or watch): no new events, and their watched apps and keyword slots are freed. Past events are kept. To pause instead, call watch with id and active=false. Cost: 0typed
list_watchesYour watches (apps, competitor sets, keyword sets), newest first, with id, apps, terms, countries, event types and whether they are paused, plus watched apps and keyword slots used vs the plan's limittyped
get_eventsSignificant changes on your watched apps and keywords, newest first: type, one-line title, AI summary, significance (0–1), app, country and the key payload fields (version, changes old → new, rating dtyped
get_developerA developer's profile: name, website, country, app count, total ratings and installs, all their apps (most-rated first) and the same company in the other store. get_app shows the developer id as dev <typed
read_connectionRead live data from one of the user's connected accounts. what='reviews' (asc, play_console): the app's own reviews with reply status, unanswered=true for those without a developer reply; their reviewtyped
propose_actionPrepare a change to the user's connected account as a DRY RUN: nothing is written. AppGoat reads the live account and returns the before → after diff, guardrail results (AI probabilities for store poltyped
apply_actionGo ahead with an action from propose_action, after the user has seen its diff and agreed. Outcomes: applied (written to the store / Apple Ads account, 1 credit; when the org has an auto-apply rule thetyped
get_actionOne action from propose_action: its status (draft, pending_approval, approved, applied, failed, rejected), diff, guardrail scores, the provider result or error, the approve link and the audit trail. Utyped
reject_actionDiscard a draft or pending action the user does not want; nothing is written to the account. Cost: 0 credits.typed
audit_appRun an App Audit of one app in one country: a 0–100 score, prioritised ASO actions with evidence, title / subtitle / keyword rewrites within the store character limits, and findings from listing, ratiincomplete
get_auditCheck on an App Audit that audit_app started (by its id, e.g. aud_3fK9aQ2mXc81LpRt): waits up to about 25 s for it to finish, then returns the report (score, actions, metadata rewrites, findings, repotyped
get_insightsWhat an app's users praise and complain about, from the AI tags on its reviews: top issues (topics behind negative, bug, crash, UX and pricing reviews) with last-30-days vs previous-30-days counts andtyped
list_playbooksAppGoat playbooks: step-by-step recipes (which tools to call, credit budget, decision rules, output format) for app audits, app idea research, ASO metadata rewrites, weekly competitor digests, turningtyped

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