# App Store Connect MCP Server

> Use this tool when you need to access and analyze App Store Connect data for iOS apps, including financial metrics and performance insights. It solves problems related to app revenue tracking, subscription analytics, and data-driven decision making through secure API integration and comprehensive reporting. Ideal for use cases requiring real-time app metrics and revenue insights, with inputs including API requests and outputs featuring detailed analytics and reports.

Canonical page: https://skillsregistry.net/skills/trialanderrorai-appstore-connect-mcp  
JSON: https://api.skillsregistry.net/v1/skills/trialanderrorai-appstore-connect-mcp

## Description

Enables AI assistants to access App Store Connect data including financial metrics, subscription analytics, app performance data, and revenue insights. Provides real-time iOS app metrics through secure API integration with rate limiting and comprehensive reporting capabilities.

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h5zz0oj7m2)
- **Repository:** <https://github.com/TrialAndErrorAI/appstore-connect-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "trialanderrorai-appstore-connect-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/trialanderrorai-appstore-connect-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/trialanderrorai-appstore-connect-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt