app-store-scraper-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| app_detailsA | Get full details for an App Store app (title, description, price, rating, version, developer, screenshots…). Provide either |
| search_appsC | Search the App Store for apps matching a term. |
| list_appsB | Get apps from an App Store chart/collection (top free, top paid, top grossing, new…), optionally filtered by category. |
| developer_appsA | List all apps published by a developer, given the developer's iTunes artistId. |
| similar_appsA | Get the 'customers also bought' / similar apps shown on an app's page. Provide either |
| app_reviewsA | Get a page of user reviews for an app (up to 10 pages of ~50 reviews). Provide either |
| app_ratingsA | Get the total ratings count and 1–5 star histogram for an app. |
| app_privacyC | Get the App Privacy ('nutrition label') details for an app. |
| search_suggestionsA | Get up to 50 App Store search autocomplete suggestions for a term. Useful for keyword/ASO research. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 9 tools
Each tool maps to a distinct data facet (search, charts, details, ratings, privacy, reviews, similar apps, developer catalog, autocomplete), so an agent can pick correctly in most cases. The only real overlap is that `app_details` already returns rating/version info that `app_ratings` surfaces separately, and `search_apps` vs `search_suggestions` vs `list_apps` require reading descriptions to keep straight.
All names are lowercase snake_case and semantically transparent, but they follow three different patterns: verb_noun (`search_apps`, `list_apps`), resource_aspect (`app_ratings`, `app_privacy`, `app_details`, `app_reviews`), and qualifier_noun (`similar_apps`, `developer_apps`). Readable and predictable enough, with only minor style drift rather than true inconsistency.
Nine tools is well within the sweet spot and each covers a genuinely different App Store data surface. No tool feels redundant filler or obviously missing from the core set.
The surface covers the main read-only App Store research workflow: autocomplete, search, charts, details, ratings, reviews, privacy labels, similar apps, and developer catalogs. Minor gaps remain, such as app version/changelog history, in-app purchase listings, and explicit storefront/country selection, but agents can work around them.