# TestFlight Feedback MCP Server

> Use this tool when you need to collect and analyze beta tester feedback from App Store Connect, including screenshots, crash logs, and text comments, to improve your app's quality and user experience. It provides a platform-agnostic interface to access TestFlight feedback using official API keys and optional browser automation. Ideal for app developers and QA teams seeking to streamline their feedback collection and testing processes.

Canonical page: https://skillsregistry.net/skills/bandarudheeraj-testflight-feedback-mcp  
JSON: https://api.skillsregistry.net/v1/skills/bandarudheeraj-testflight-feedback-mcp

## Description

Enables AI assistants to access TestFlight beta tester feedback, including screenshots, crash logs, and text comments from App Store Connect. It works across any platform without requiring Xcode, using official API keys and optional browser automation for full text feedback.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wrg8mtrvev)
- **Repository:** <https://github.com/BandaruDheeraj/testflight-feedback-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": "bandarudheeraj-testflight-feedback-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bandarudheeraj-testflight-feedback-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bandarudheeraj-testflight-feedback-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
