review-miner
Related Servers
Alternatives to review-miner
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Related Servers
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- AlicenseNot gradedqualityBmaintenanceEnables retrieval of App Store and Google Play reviews, ratings summaries, and ASO keyword rankings for any app using its store ID or package name.273 npmMIT
- AlicenseAqualityAmaintenanceGives AI agents live access to Apple App Store reviews: search the App Store, pull customer reviews for any iOS app, and turn them into insights like rating distribution, average rating per version, top complaint keywords, representative quotes, and side-by-side competitor comparisons.41MIT
- AlicenseBqualityBmaintenanceStorelift's MCP server lets Claude, ChatGPT, Cursor or any MCP client read your App Store and Google Play keyword ranks, rivals, reviews, store pages, charts and AI visibility from your Storelift workspace. The remote server is included on every plan, including Free (1 app, 25 keywords in each of 2 storefronts, no end date); the local server and public API come with Pro and Studio.85319 npm1MIT
- AlicenseAqualityAmaintenanceEnables agents to fetch app reviews from Apple's App Store and Google Play per country store, newest first, filtered by date or star rating, with each scheduled run returning only reviews not seen before. It also returns a per-app, per-country rating trend row with the current rating, rating count, change since the last run, and the star split of new reviews.1278 npmMIT
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TDQS
Scored across 4 tools
Each tool targets a distinct step or scope: chart discovery, app lookup, single-app review fetching, and multi-app comparison. There is no meaningful overlap in purpose, and the descriptions clearly distinguish when to use each.
All tools use the review_ prefix and mostly follow an action-oriented pattern. The only minor deviation is review_fetch, which omits an explicit object noun like the others, but the convention remains readable and predictable.
Four tools are well-scoped for a review-mining workflow: discover apps, resolve IDs, fetch reviews, and compare competitors. Each tool earns its place without redundancy.
The core lifecycle is covered: finding apps, retrieving reviews with stats, and comparing multiple apps. Minor gaps exist around filtering by time range or exporting raw reviews, but the surface supports the primary use cases.