# Apple App Store MCP for AI Agents MCP

> Apple App Store MCP connects your AI agent directly to App Store Connect data. Monitor app health, track customer reviews across all territories, and analyze sales trends for your published iOS apps without leaving your workflow.

## Overview
- **Category:** industry-titans
- **Price:** Free
- **Tags:** app-store-connect, ios-development, testflight, app-metadata, sales-reporting, customer-reviews

## Description

Managing an app's lifecycle means juggling builds, tracking feedback, and monitoring revenue—all inside a complex portal. This MCP gives your AI client direct access to that data, making it actionable via natural language commands. You can monitor everything from TestFlight build statuses to aggregated sales reports with simple prompts. The goal is to take the manual heavy lifting out of app management. Instead of clicking through multiple tabs and downloading CSVs, you talk to your agent and get a synthesized answer right away. When you connect this MCP via Vinkius, your AI client treats App Store Connect like another API endpoint, letting you treat all your app data—metadata, versions, reviews, and sales figures—as one single source of truth.

## Tools

### get_account_check
Verifies that the connection to your App Store Connect account is active and authorized.

### list_apps
Retrieves a list of all published apps associated with your account ID.

### list_builds
Lists all compiled builds that exist for a specific app title, tracking their status and version.

### list_customer_reviews
Pulls customer reviews for a given app ID so you can analyze public sentiment.

### get_sales_reports
Downloads comprehensive reports on sales and download trends, allowing you to specify the time frequency (DAILY, WEEKLY, MONTHLY, YEARLY).

### get_app_info
Retrieves detailed metadata, including keywords and descriptions, for one specific app.

### get_app_store_versions
Lists all historical App Store versions associated with an app, detailing release notes and submission status.

### list_prerelease_versions
Displays the current list of pre-release builds for beta testing using TestFlight.

## Prompt Examples

**Prompt:** 
```
What were my top 3 performing apps last month?
```

**Response:** 
```
**App Performance Summary (May 2024)**

| App Name | Downloads | Revenue Trend |
| :--- | :---: | :---: |
| Fitness Tracker | 15,200 | $→$ Up 8% |
| Recipe Master | 9,100 | $↗$ Stable |
| Expense Guide | 6,400 | $↓$ Down 5% |

The main driver for the drop in 'Expense Guide' was a spike in negative reviews regarding the new UI layout.
```

**Prompt:** 
```
List all my current apps and their latest available build status.
```

**Response:** 
```
**App Inventory & Build Status**

You currently manage 4 titles:
*   **Fitness Tracker:** Latest version submitted (2.1.0). Status: *Ready for Testing*. Build ID: B-45.
*   **Recipe Master:** Metadata available. Last build was 1.9.0, status: *Archived*.
*   **Expense Guide:** Available builds: Beta v3.0. Status: *In Review*.
*   **New Utility Tool:** No builds found yet.
```

**Prompt:** 
```
Show me the average rating and key complaints for 'Recipe Master'.
```

**Response:** 
```
I pulled the 50 most recent reviews for Recipe Master. 

⭐️ **Average Rating: 4.3/5 Stars**

*   **Praise Points:** Users consistently love the search filter functionality.
*   **Key Complaints:** The primary issue is stability on older iOS versions, with multiple users mentioning crashes after updating.
```

## Capabilities

### Manage App Inventory
List every app in your account and pull detailed metadata for any specific product.

### Analyze Customer Feedback
Access and summarize customer reviews, including star ratings, across all global territories.

### Track App Versions
View the complete history of your app's submissions, release notes, and current status in App Store Connect.

### Monitor TestFlight Builds
Check the status of pre-release versions and monitor ongoing beta testing builds for specific apps.

### Review Sales Performance
Download aggregated sales reports detailing download counts and revenue performance over daily, weekly, monthly, or yearly intervals.

### Get Specific App Details
Retrieve key information for a single app title, including its current metadata and identifiers.

## Use Cases

### Investigating a Sales Dip
A marketing director noticed revenue dropped last week. Instead of emailing the finance team, they ask their agent to run get_sales_reports for the previous period. The agent returns structured data showing the drop correlated with a specific geographical region.

### Preparing for V2 Launch
A product manager needs to justify new features. They ask the agent to compare list_customer_reviews from the last quarter against get_app_info data, identifying common feature requests mentioned by users.

### Debugging a Release Issue
An iOS developer finds that their latest build isn't showing up. They use list_builds and then list_prerelease_versions to confirm the exact build ID and status, letting them fix the problem faster.

### Auditing App Metadata
A marketing team needs to check if all their apps are using the right keywords. They run get_app_info for multiple titles to ensure consistency across the entire catalog.

## Benefits

- Stop manually checking build statuses. Use list_prerelease_versions to instantly know if your TestFlight builds are ready for testing.
- Get immediate feedback on public sentiment. Running the list_customer_reviews tool allows you to analyze what users love—or hate—right now.
- Understand revenue performance at a glance. The get_sales_reports function lets you track downloads and money made over any time period (daily, monthly, yearly).
- Keep your records clean. Use get_app_store_versions to pull the full history of release notes and submission statuses without digging through archives.
- Know what you're working with. Running list_apps gives you a complete inventory check across all products in your account.

## How It Works

The bottom line is that your AI client handles all the API calls; you just ask it questions about your app's performance, and it gives you a direct answer.

1. Connect your preferred AI client to the Apple App Store MCP via Vinkius.
2. Prompt your agent with a natural language request, like 'Show me the average rating for my latest build.'
3. The MCP executes the necessary query against App Store Connect and returns the data structure to your agent.

## Frequently Asked Questions

**How do I use the Apple App Store MCP to check my app's sales data?**
You can get detailed revenue and download reports by asking your agent to run a report. Just tell it what time frame you need, like 'weekly reports for Q2,' and it handles the complex reporting logic.

**Can this MCP track beta builds in TestFlight?**
Yes. It provides real-time visibility into your pre-release versions through list_prerelease_versions, letting you know if a build is 'Ready for Testing' or stuck in review.

**Does the Apple App Store MCP help me analyze customer reviews?**
Absolutely. It pulls recent customer feedback and allows your agent to summarize common themes, like specific features users praise or bugs they keep reporting.

**How do I find out all the apps I have published?**
You simply ask it to list all your apps. The MCP runs list_apps and gives you a complete inventory of every product connected to that App Store Connect account.

**Is this Apple App Store MCP good for developers working on V2?**
It's perfect. You can pull the current version history (get_app_store_versions) and then cross-reference user feedback with that history to prove why your new features are necessary.

**Does the Apple App Store MCP support different time periods for reports?**
Yes, it's flexible. When requesting sales data (get_sales_reports), you can specify if you want daily, weekly, monthly, or yearly aggregated statistics.