# crowd-test-mcp

> crowd-test-mcp — anhhuyn411-alt-crowd-test-mcp. Use this tool when you need to test website usability and quality assurance through simulated user interactions. It solves problems related to UX issues, accessibility, and performance by unleashing a crowd of virtual users with diverse personas and browsing habits, providing a comprehensive damage report with a survival grade. The tool takes in a website as input and outputs a detailed report with findings and accusations that can be verified by independent engines.

Canonical page: https://skillsregistry.net/skills/anhhuyn411-alt-crowd-test-mcp  
JSON: https://api.skillsregistry.net/v1/skills/anhhuyn411-alt-crowd-test-mcp

## Description

Enables AI assistants to unleash a crowd of role-played virtual users — impatient shoppers, seniors, keyboard-only users, privacy hawks, chaos monkeys — on a website. Each persona browses in a real Chromium browser, files UX/QA findings in character, and the site receives a damage report with an S–F survival grade. Accusations can be cross-examined by up to three independent verification engines

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uqrfmitbiv)
- **Repository:** <https://github.com/anhhuyn411-alt/crowd-test-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": "anhhuyn411-alt-crowd-test-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anhhuyn411-alt-crowd-test-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anhhuyn411-alt-crowd-test-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