@perttu/app-store-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_store_appA | Get App Store metadata for one app by numeric track ID or bundle identifier. Can include the rating histogram. |
| app_store_searchA | Search the App Store by keyword, with country, locale, and pagination controls. |
| app_store_listA | Get a ranked App Store collection, optionally narrowed to a category. Full detail makes one additional request per app. |
| app_store_developerA | Get all apps published under an App Store developer account. |
| app_store_reviewsA | Get a page of recent or helpful App Store reviews for an app. |
| app_store_ratingsA | Get an app's total rating count and its 1–5 star histogram. |
| app_store_similarB | Get the apps shown as related to a given App Store app. |
| app_store_suggestA | Get App Store autocomplete suggestions for a partial search term. |
| app_store_privacyA | Get privacy labels and policy information published for an App Store app. |
| app_store_version_historyA | Get past versions, release dates, and release notes for an App Store app. |
| app_store_in_app_purchasesA | Get the top in-app purchases shown on an app's App Store page, with localized names and formatted prices. |
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 11 tools
Each tool targets a distinct data type (search, reviews, ratings, app details, etc.), but app_store_app and app_store_ratings have minor overlap since app metadata can include the rating histogram. Overall, descriptions clearly delineate purpose.
All 11 tools follow a consistent app_store_ prefix with snake_case. While the suffix part of speech varies (nouns, verbs, adjectives), the pattern is highly predictable and recognizable.
11 tools is well within the ideal range and each tool addresses a distinct read-only aspect of App Store data. No tool feels redundant or out of place.
The set covers all major App Store information surfaces: search, lookup, collections, developer listings, ratings, reviews, similar apps, suggestions, privacy, version history, and in-app purchases. There are no obvious dead ends for common use cases.