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App Store Connect MCP Server

MCP Server

AI‑powered command center for iOS app management

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Updated Dec 25, 2024

About

This MCP server lets developers and teams manage their App Store Connect data through conversational AI. It supports app listing, beta testing, localization updates, analytics retrieval, and device or bundle ID administration directly from chat interfaces.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

App Store Connect MCP Server

The App Store Connect MCP Server bridges the gap between AI assistants and Apple’s App Store Connect API, allowing developers to perform common app‑release tasks directly from a conversational interface. By exposing a rich set of tools—such as listing apps, managing beta testers, creating bundle IDs, and handling registered devices—the server turns routine App Store Connect operations into natural language commands that an AI assistant can execute on behalf of the user.

What Problem Does It Solve?

Managing an iOS app’s lifecycle involves navigating a complex web of APIs, authentication flows, and data models. Traditionally developers must write scripts or use the App Store Connect web UI for tasks like adding beta testers, enabling capabilities, or querying device registrations. The MCP server eliminates these friction points by providing a single, well‑defined interface that an AI assistant can call. This means a developer can simply say, “Show me all beta groups for my app” or “Add a new tester to the internal group,” and the assistant will retrieve or modify data without manual API calls.

Core Functionality & Value

  • Unified Access: All App Store Connect endpoints are wrapped in a consistent MCP tool set, so the assistant can handle them without custom code.
  • Secure Authentication: The server expects the App Store Connect API key, issuer ID, and private key file—credentials that are automatically supplied via environment variables in the client configuration. This keeps secrets out of the assistant’s memory.
  • Error Resilience: Built‑in handling for authentication failures, rate limits, and network issues ensures that the assistant can gracefully report problems back to the user.
  • Developer‑Friendly: The tools expose common patterns (list, get, create, enable/disable) in plain language, making it straightforward for developers familiar with MCP to integrate the server into their workflows.

Key Features & Capabilities

  • App Management
    • List all apps and fetch detailed metadata, including relationships to bundles and teams.
  • Beta Testing
    • Enumerate beta groups, list testers per group, and add or remove testers with a single command.
  • Bundle ID Management
    • Create new bundle IDs, retrieve their details, and toggle capabilities such as push notifications or in‑app purchases.
  • Device Management
    • List registered devices, filter by type or status, and view individual device details.
  • User Management
    • Enumerate team members, inspect roles and permissions, and filter by access level.

Each tool follows a predictable pattern: for enumeration, for details, and action verbs (, ) to modify state. This consistency makes it easy for an AI assistant to compose complex workflows from simple building blocks.

Real‑World Use Cases

  • Continuous Integration Pipelines: An AI assistant can automatically register new bundle IDs or enable capabilities as part of a CI build before submitting to TestFlight.
  • Beta Program Automation: When onboarding new testers, the assistant can add them to the appropriate groups and notify them via email or Slack.
  • Compliance Audits: Developers can ask the assistant to list all devices that have not been used in the last 90 days, helping maintain a clean provisioning profile.
  • Team Onboarding: New team members can be listed with their permissions, ensuring they have the correct access before starting work.

These scenarios demonstrate how the MCP server streamlines repetitive administrative tasks, reduces human error, and keeps developers focused on code rather than configuration.

Integration with AI Workflows

An MCP‑enabled assistant, such as Claude Desktop, can load the server through a simple configuration entry. Once registered, the assistant automatically discovers all available tools and can invoke them as part of a conversation. For example:

The assistant handles authentication, sends the request to the server, and returns a concise confirmation. Because the server abstracts the underlying HTTP calls, developers can rely on the assistant to manage rate limits and error reporting without writing additional code.

Unique Advantages

  • Zero‑Code Interaction: Developers can perform complex App Store Connect operations without touching code or the web UI.
  • Consistent API Surface: All actions are exposed as MCP tools, ensuring predictable behavior across different AI platforms.
  • Security‑First Design: Credentials are passed via environment variables, keeping secrets out of the assistant’s memory and logs.
  • Extensible: The server can be extended with new tools or