# @kuramalab/mysupportdetails-mcp

> @kuramalab/mysupportdetails-mcp — kuramalab-mysupportdetails-mcp. Use this tool when you need to perform cross-browser regression testing, multi-account testing, or localization QA without the hassle of restarting your server. It provides runtime switching between multiple browser profiles, including Chromium, Firefox, and WebKit, allowing for seamless testing across different browsers and environments. Ideal for QA and test automation, it takes browser profiles as input and outputs test results, enabling efficient and comprehensive testing workflows.

Canonical page: https://skillsregistry.net/skills/kuramalab-mysupportdetails-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kuramalab-mysupportdetails-mcp

## Description

An MCP server for QA and test automation that provides runtime switching between multiple browser profiles (Chromium, Firefox, WebKit) without restart, enabling cross-browser regression testing, multi-account testing, localization QA, and more.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f9zwrqkggx)
- **Repository:** <https://github.com/kuramalab/mysupportdetails-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": "kuramalab-mysupportdetails-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kuramalab-mysupportdetails-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kuramalab-mysupportdetails-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