MCP-сервер AppGoat

• Имя в реестреai.appgoat/mcpподтверждён в реестре MCP

Имя в реестре лежит в пространстве appgoat.ai. Реестр пускает в такое пространство только того, кто доказал владение доменом через DNS или HTTP.

• Состояниеотвечаетпроверено 2026-10-29
• Инструменты26
• Сервер называет себяappgoat
• Версия сервера0.2.0
• Версия протокола2025-06-18

2026-10-29 сервер ответил на initialize и tools/list без входа. Первый ответ за 252 мс.

• Инструменты делают все проверенные сценарии: find keywords and rewrite app store listing subtitles; watch competitors for rank jumps and new versions.
• Проверок пока 6 из 7, нужных, чтобы судить о надёжности.

Вывод сделан правилами по замерам выше. Вероятный первый вызов выбрала модель по списку инструментов: прочитайте описание, прежде чем на него полагаться.

• Оценка INITE MCPчерез неделюдля оценки нужно 7 ежедневных проверок, пока 6
• Что агент может с ним сделать2 из 2 сценариев
• Отвечалидёт замерпроверок пока 6, долю покажем после 7
• Медиана первого ответа261 мс
• Место в контексте агента≈ 9 238 токеновописания всех инструментов (26), они занимают контекст агента на каждом ходу
• Описания инструментовA · 100 из 100
• Типизированные ответы0 из 26 инструментовобъявлен outputSchema: ответ приходит с типами и читается сразу

• Все инструменты проходят все шесть проверок.

Программа проверяет сервер раз в день: initialize и tools/list, без модели. Токены - это длина описаний из расчёта примерно четыре символа на токен. Оценка - среднее шести проверок имени, описания, схемы и аннотаций каждого инструмента. Она говорит, насколько понятно описаны инструменты, а не о том, работают ли они. Оценка складывается только из замеренного: отвечает ли сервер (25%), делает ли работу продукта (25%), описания (20%), контекст (10%), использование (10%) и насколько просто подключиться (10%). Незамеренная часть не учитывается, а скрытая инструкция ограничивает оценку 40 баллами. Состояние MCP-серверов вендоров: методика и цифры →

• get_app

  Look 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 store. Accepts any id, bundle id…

• get_reviews

  Read 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 (rating='1-2' for complaints), version, date…

• get_app_history

  An 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 over the period. Use it to chart…

• get_app_changes

  What 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, featuring, installs, content rating. Use…

• get_app_keywords

  The 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 competitor to find keyword gaps. Cost…

• get_competitors

  An 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 digest. Cost: 1 credits.

• search_apps

  Find 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, rating, ratings and price; pass the…

• get_charts

  A 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 that dropped out. Charts are captured…

• keyword_research

  Keyword 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 with metrics, the store's autocomplete…

• get_keyword_ranks

  Ranking 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 watch (list_watches and watch show the…

• watch

  Watch 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, rating drops, review and ratings spikes…

• unwatch

  Stop 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: 0 credits.

• list_watches

  Your 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 limits. Filter by kind or by an app they…

• get_events

  Significant 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 drop, rank move, chart rank…). Filter…

• get_developer

  A 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 <store>:<id>. Cost: 1 credits.

• get_job

  Poll 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. Cost: 0 credits.

• list_connections

  The 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 propose_action; secrets are never…

• read_connection

  Read 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 review_id feeds propose_action review.reply…

• propose_action

  Prepare 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 policy, tone and risky claims, plus…

• apply_action

  Go 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 the guardrail score clears, or allows…

• get_action

  One 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. Use it to check whether a pending…

• reject_action

  Discard a draft or pending action the user does not want; nothing is written to the account. Cost: 0 credits.

• audit_app

  Run 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, ratings, reviews, keywords and…

• get_audit

  Check 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, report page) or its status. Cost: 0 credits.

• get_insights

  What 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 and sample reviews, topics, what each…

• list_playbooks

  AppGoat 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, turning reviews into GitHub issues, and, on…