Apple App Store MCP. Get build status, sales data, and user reviews in one chat.
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Apple App Store MCP Server. Connects your AI client directly to App Store Connect. Track app performance, manage TestFlight builds, and analyze customer feedback using natural language commands.
Pulls metadata, sales reports, and version history to keep your app lifecycle process visible right from your workflow.
What your AI agents can do
Get account check
Verifies if your AI client is successfully connected to the App Store Connect account.
Get app info
Retrieves detailed metadata for a specific app in your account.
Get app store versions
Lists all versions of an app that have ever been submitted to the App Store.
The agent lists every app in your account and retrieves detailed information for any single product.
The agent retrieves and analyzes customer reviews and star ratings across different regions.
The agent lists all available App Store versions and monitors specific builds, including prerelease versions for TestFlight testing.
The agent downloads aggregated sales data and performance reports, allowing tracking of revenue and download trends.
The agent confirms the connection and current status of the App Store Connect account.
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Apple App Store MCP Server: 8 Tools for App Lifecycle Management
Use these tools to query all aspects of your app's lifecycle, from initial account status checks to aggregated sales reports and customer feedback analysis.
019d7550get account check
Verifies if your AI client is successfully connected to the App Store Connect account.
019d7550get app info
Retrieves detailed metadata for a specific app in your account.
019d7550get app store versions
Lists all versions of an app that have ever been submitted to the App Store.
019d7550get sales reports
Downloads aggregated sales and trend reports, allowing you to specify the frequency (daily, weekly, monthly, or yearly).
019d7550list apps
Lists every single app currently registered in your App Store Connect account.
019d7550list builds
Lists all available builds for a specific app, tracking development versions.
019d7550list customer reviews
Retrieves recent customer reviews and star ratings for a given app.
019d7550list prerelease versions
Lists versions of an app that are currently available only for beta testing (TestFlight).
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What you can do with this MCP connector
Your AI client connects straight to App Store Connect. You can track app performance, manage TestFlight builds, and dig into customer feedback—all without leaving your workspace. You'll get everything you need for the whole app lifecycle, right from your workflow.
Getting Started
Use get_account_check to verify that your agent is connected to the right App Store Connect account.
App Management and Metadata
You can use list_apps to pull a list of every app registered in your account. Then, get_app_info pulls all the detailed metadata for any single product you point it at.
Customer Feedback and Reviews
list_customer_reviews lets you pull recent customer reviews and star ratings for a specific app, letting you analyze what users are saying across different regions.
Tracking Versions and Builds
get_app_store_versions shows every version of an app you've ever submitted to the App Store. To keep tabs on development, list_builds lists all available builds for an app, tracking specific development versions. If you're testing in TestFlight, list_prerelease_versions gives you access to those versions available only for beta testing.
Sales and Performance Reporting
get_sales_reports downloads aggregated sales and trend reports. You can specify whether you want the data broken down by day, week, month, or year, so you can track revenue and download trends.
How Apple App Store MCP Works
- 1 First, ensure your AI client has authorized access by running
get_account_checkto verify the connection. - 2 Next, run
list_appsto see all products in your account, then useget_app_infoon a specific app ID to gather metadata. - 3 Finally, call
get_sales_reportsto pull performance data, orlist_customer_reviewsto gather user feedback.
The bottom line is you get a single, natural language interface to complex app store data.
Who Is Apple App Store MCP For?
The Product Manager who needs to correlate user complaints with revenue drops. The iOS Developer who needs to confirm a build status before notifying QA. The Marketing Director who needs to check current sales metrics against planned promotions. If your job involves the app lifecycle, this is for you.
Gathers user feedback via list_customer_reviews and tracks version history using get_app_store_versions to justify feature prioritization.
Monitors build readiness using list_builds and checks the account status with get_account_check before submitting a new version.
Runs get_sales_reports to measure campaign success and uses list_apps to check metadata for store optimization.
What Changes When You Connect
- See the latest build status immediately. Use
list_buildsandlist_prerelease_versionsto know if a version is ready for beta testing, cutting out dashboard navigation. - Gauge market performance with
get_sales_reports. Instead of downloading and opening separate spreadsheets, your agent pulls aggregated sales data directly into the conversation. - Pinpoint pain points with
list_customer_reviews. The agent pulls and analyzes recent feedback, letting you know, for example, if users are complaining about a specific UI element. - Manage your entire product lineup with
list_apps. You can list all products in your account and get key metadata for each, all from a single prompt. - Streamline pre-release management.
get_app_store_versionsandget_app_infotrack the full history and current state of your app's metadata, ensuring you never miss a submission detail.
Real-World Use Cases
The App Manager needs to prep for a launch.
The App Manager needs to know if the new release is ready. They ask the agent to check the status by calling list_builds and then check the beta versions using list_prerelease_versions. If both confirm a 'Ready' status, they can proceed to draft release notes.
A PM needs to justify a feature change.
A Product Manager notices a dip in revenue. They ask the agent to run get_sales_reports (monthly frequency) and cross-reference the results with list_customer_reviews to see if negative feedback coincided with the sales drop.
The Developer needs to check account health.
A developer is about to submit a critical fix. First, they run get_account_check to confirm permissions. Then, they use get_app_info to verify the current metadata limits before initiating the submission process.
Marketing needs to optimize store listing.
Marketing wants to improve visibility. They use list_apps to get the metadata for all products. Then, they use get_app_info on a specific app to pull the current keywords and descriptions for optimization.
The Tradeoffs
Manually cross-referencing data points
A user manually logs into App Store Connect, runs the sales report, downloads the CSV, opens a spreadsheet, and then switches tabs to look at the customer reviews dashboard.
→
Ask your agent to run get_sales_reports and simultaneously call list_customer_reviews. This brings both the quantitative performance data and the qualitative user sentiment into one conversation.
Forgetting the account status
An engineer attempts to use list_builds or get_app_info immediately after a holiday period, only to find the calls fail because the account connection wasn't refreshed.
→
Always start by calling get_account_check. This verifies your AI client has the necessary permissions and connection status before running any other tool.
Treating all data as current
A team relies solely on the metadata shown in list_apps without checking the actual version history, assuming the latest data is live.
→
To get the definitive sequence of releases, use get_app_store_versions. This provides a structured list of all versions, which is more reliable than simply reading the current status dashboard.
When It Fits, When It Doesn't
Use this server if your primary need is synthesizing app performance data. You need to correlate metrics—like sales trends from get_sales_reports—with qualitative user feedback from list_customer_reviews and current build status from list_builds. It's essential for the end-to-end app lifecycle assessment.
Don't use this if you only need to look up basic, static information (e.g., 'What is the name of the company?'). For that, a simple API wrapper is fine. If you need to know how to manage the complex process of a release (checking status, then pulling data, then analyzing), this is the right tool. It forces you to gather all the necessary inputs before making a decision.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Apple App Store. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 8 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Checking app status means clicking through five different dashboards.
Today, checking an app's status requires a painful, multi-step process. You jump from the 'App Store' tab to check metadata, then click into 'TestFlight' to see the latest build, and finally open 'Sales' to check revenue. You spend 15 minutes just gathering the facts, and you're never sure if you missed a crucial warning or report.
With the Apple App Store MCP Server, your agent handles the whole sequence. You ask: 'What's the status of the latest release?' and the agent runs `list_builds`, checks `list_prerelease_versions`, and pulls `get_app_info`—all in one go. You get the answer, not a list of dashboards to navigate.
Apple App Store MCP Server: Correlate sales and reviews instantly.
Manual analysis means downloading a CSV of sales data and then manually searching through thousands of customer reviews for keywords that match the downturn. You are comparing two separate, unsynced data sources in different programs.
Now, your agent connects the two. You ask it to analyze the sales dip. It runs `get_sales_reports` and then filters `list_customer_reviews` based on time stamps from the report. You get a direct, actionable answer: 'The dip correlates with complaints about the login flow.' No more manual cross-referencing.
Common Questions About Apple App Store MCP
How do I check the current connection status with get_account_check? +
You ask the agent to run get_account_check. It validates your AI client's credentials against App Store Connect, telling you immediately if the connection is live and authorized.
What is the difference between list_builds and list_prerelease_versions? +
list_builds shows all internal builds for an app. list_prerelease_versions specifically lists versions that are out to beta testers via TestFlight.
Can get_sales_reports handle different time periods? +
Yes, get_sales_reports takes a frequency argument. You can specify DAILY, WEEKLY, MONTHLY, or YEARLY reports to track trends.
Which tool do I use to get basic app metadata? +
Use get_app_info. This tool pulls detailed, current metadata for a specific app, helping you verify things like keywords and category details.
How do I use list_customer_reviews to analyze feedback across different regions? +
The list_customer_reviews tool handles multi-territory data. You can filter results by country code or region name to narrow down the feedback pool.
What information does get_app_info provide for a specific application? +
The get_app_info tool delivers core metadata, including the app's unique ID, current version number, and general store description. This is key for planning updates.
Can I use get_sales_reports for comparison between years? +
Yes, get_sales_reports handles annual data aggregation. You simply specify the required date range and the report frequency (e.g., YEARLY) to compare performance.
How does list_apps help me track my entire portfolio of apps? +
The list_apps tool provides a comprehensive list of every app in your account. From this list, you can then pass specific app IDs to other tools for deeper data dives.
How do I create an App Store Connect API Key? +
Log in to App Store Connect, go to Users and Access, select the Integrations tab, and then App Store Connect API. You can generate and download your private key (.p8) there.
What is my Issuer ID and Key ID? +
The Issuer ID is a unique ID for your organization, and the Key ID is specific to the API key you generated. Both are displayed on the App Store Connect API keys page.
How are sales reports handled? +
The get_sales_reports tool initiates a download of aggregated sales data from Apple. Note that detailed reports are provided as compressed files which are processed by the server.
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