# Mimiq MCP

> Use this tool when you need to automate testing of digital experiences on simulated users, solving problems of inefficient manual testing and optimizing user flow, copy, and page performance. It takes in coding inputs and outputs test results, providing valuable insights to improve user engagement. Ideal for use during the development phase to ensure seamless user interactions.

Canonical page: https://skillsregistry.net/skills/victorgulchenko-mimiq-mcp  
JSON: https://api.skillsregistry.net/v1/skills/victorgulchenko-mimiq-mcp

## Description

Your AI coding agent tests pages, copy, and flows on simulated users while building.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iu28h5msuh)
- **Repository:** <https://github.com/victorgulchenko/mimiq-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": "victorgulchenko-mimiq-mcp"
    }
  }
}
```

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

---
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