sensortower-mcp
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AlicenseAqualityBmaintenanceProvides App Store Optimization tools for AI agents, enabling app lookup, keyword research, ASO audit, review mining, and revenue estimation across iOS and Google Play.4381 npmMIT- AlicenseNot gradedqualityDmaintenanceProvides live App Store rankings, charts, app details, reviews, and search across 55 countries, enabling AI assistants to query app store data.62 npmMIT
- AlicenseNot gradedqualityCmaintenanceWraps the 42matters App Market Data API to let AI agents look up app details, search app stores, fetch ranked top charts, and find apps integrating specific SDKs across Android and iOS.151 npmMIT
- AlicenseNot gradedqualityFmaintenanceQuery iOS App Store revenue and download estimates for any app directly from your agent. Two tools: estimate_app returns monthly revenue and downloads with a confidence label (verified / calibrated / modeled), and search_apps resolves an app name to its App Store id.48 npmMIT

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AlicenseNot gradedqualityCmaintenanceEnables AI assistants to research App Store keywords with popularity and difficulty scores, track daily rankings across 59 storefronts, find competitor keyword gaps, optimize metadata, and review App Store Connect performance. Read tools only inspect the signed-in account, while write tools manage tracked apps, keywords, competitors, and saved lists mid-conversation.MIT- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to query the FoxData API for iOS and Google Play app analytics, including downloads, revenue, rankings, keywords, competitor insights, and ad data across 200+ countries. Supports natural-language requests to retrieve app intelligence and market data.MIT
TDQS
Scored across 29 tools
Each tool maps to a distinct resource+action, and the descriptions explicitly pre-empt the trickiest overlaps (app_demographics vs audience_demographics licensing split, reviews vs ratings vs review_breakdown, app_active_users vs top_apps leaderboards). A few boundaries remain thin (app_retention vs app_active_users, featured vs featured_history) but descriptions make them selectable.
Every tool uses a uniform sensortower_ snake_case prefix followed by a readable noun phrase, with grouping prefixes (app_*, top_*, audience_*, keyword*) that telegraph the resource family. No mixed conventions or ambiguous verbs anywhere.
29 tools is on the heavy side, but the descriptions justify most of them as distinct curated endpoints over a very large analytics API, with sensortower_raw_get explicitly serving the ~50 uncovered endpoints. Still, at nearly 30 dedicated tools it sits above the comfortable range and invites selection errors.
The surface covers apps, estimates, ranks, demographics, retention, IAP, overlap, charts, leaderboards, publishers, store/market aggregates, advertisers/creatives, featured, keywords, reviews/ratings, search ads and audience segments. The raw_get escape hatch plus the offline reference tool close any residual gaps.