AppStorePack
Server Details
Create App Store screenshots, app icons and store copy, then push them to App Store Connect.
The last two health checks of this connector failed. If this server requires authentication, missing or expired test credentials may be the cause. A test profile lets Glama authenticate for health checks and discover tools; it is separate from your personal connections.
If you are the author, claim ownership, then add or update a test profile under Admin → Test Profile.
- Status
- Unhealthy
- Uptime
- 0.0% over 17 days
- OAuth
- Works in Glama
- Last Tested
- Transport
- Streamable HTTP
- URL
Related MCP Connectors
Create App Store screenshots, icons, ASO copy, localization, and revisions via hosted MCP.
Generate exact-size App Store and Google Play screenshots, feature graphics, and listing copy.
- metarunOAuthdev.metarun
Run App Store Connect from your IDE: pricing, listings, screenshots, releases, AI visibility.
AI-designed App Store screenshot sets from your app's screens, uploaded to App Store Connect.
Related MCP Servers
- AlicenseNot gradedqualityCmaintenanceEnables agents to design App Store and Google Play screenshot sets from templates or simulator captures, translate captions into 41 languages with automatic text fitting, render the pixels, and publish straight to App Store Connect or Google Play.MIT
- AlicenseNot gradedqualityAmaintenanceShips an iOS app to App Store review over the App Store Connect API: a readiness report that says what blocks submission and who can fix it, an idempotent listing pipeline (metadata, screenshots, previews, pricing, age rating, subscriptions), an offline preflight of the app itself, and a guarded submit.4MIT
- AlicenseNot gradedqualityBmaintenanceAutomate App Store Connect from your AI agent. Manage versions, metadata, builds, and submissions through natural language.177 npm8MIT
- AlicenseNot gradedqualityDmaintenanceEnables management of App Store Connect apps including registration, listing, IPA upload, store listing updates, and in-app purchase creation via natural language.MIT
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