Sponsored by Deepsite.site

Mimiq

Created By
Victor Gulchenko7 days ago
Your AI coding agent tests pages, copy, and flows on simulated users while building. Spots bad copy, confusing UX, and conversion killers before real users do.
Overview

Mimiq MCP Server

Your AI coding agent tests pages, copy, and flows on simulated users — automatically, while you build. Spots bad copy, confusing UX, and conversion killers before real users do.

Install in VS Code Install in Cursor

Setup (30 seconds)

Claude Code

claude mcp add --transport http mimiq https://mcp.mimiqai.com/mcp

Or add to .mcp.json in your project root:

{
  "mcpServers": {
    "mimiq": {
      "type": "http",
      "url": "https://mcp.mimiqai.com/mcp"
    }
  }
}

Codex

Add to ~/.codex/config.toml (or .codex/config.toml in your project root):

[mcp_servers.mimiq]
url = "https://mcp.mimiqai.com/mcp"

With an API key, set the env var and reference it:

[mcp_servers.mimiq]
url = "https://mcp.mimiqai.com/mcp"
bearer_token_env_var = "MIMIQ_API_KEY"

Then set the env var: export MIMIQ_API_KEY=mq_sk_your_key_here

Cursor

Add to MCP settings (Settings > MCP):

{
  "mimiq": {
    "transport": "streamable_http",
    "url": "https://mcp.mimiqai.com/mcp"
  }
}

VS Code (GitHub Copilot)

Open Command Palette > "MCP: Add Server" or add to .vscode/mcp.json:

{
  "servers": {
    "mimiq": {
      "type": "http",
      "url": "https://mcp.mimiqai.com/mcp"
    }
  }
}

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "mimiq": {
      "serverUrl": "https://mcp.mimiqai.com/mcp"
    }
  }
}

Claude Desktop

Add to your Claude Desktop config:

{
  "mcpServers": {
    "mimiq": {
      "transport": "streamable_http",
      "url": "https://mcp.mimiqai.com/mcp"
    }
  }
}

No API key needed — you get 100 free personas to start.

Use it

Your agent now has access to Mimiq tools. It uses them proactively — when it builds or changes a page, it tests automatically. No need to ask.

It also works with localhost. The agent starts a temporary cloudflared tunnel, runs the simulation, and tears it down. You build, it tests, in the same flow.

Or ask directly:

"Test my landing page on startup founders"

"A/B test these two headlines on e-commerce shoppers"

"Ask 20 SaaS founders which pricing model they prefer"

Tools

ToolWhat it does
mimiq.test_pageTest a web page — finds UX issues, confusing copy, conversion blockers
mimiq.test_flowDeep interactive simulation of multi-step flows (signup, checkout)
mimiq.test_copyTest copy or A/B compare two variants head-to-head
mimiq.test_textTest any text content (positioning, descriptions, error messages)
mimiq.test_componentEvaluate UI components from HTML snippets
mimiq.ask_audienceSurvey a synthetic audience on product decisions

What you get back

Raw per-persona results. Each simulated user has a name, demographics, and independently decides what to do. You get:

  • action: what they did (converted, engaged, or bounced)
  • monologue: what they were thinking — this is where the real insights are
  • objections: specific concerns that stopped them
  • what_would_help: what would change their mind
  • aggregate counts: how many converted, engaged, or bounced

There are no pre-computed verdicts or scores. Your AI agent analyzes the raw feedback and decides what it means.

When you need more

After 100 free personas, sign up at mimiqai.com to get an API key (Settings > API Keys), then add it to your config:

Claude Code:

claude mcp remove mimiq
claude mcp add --transport http \
  --header="Authorization: Bearer mq_sk_your_key_here" \
  mimiq https://mcp.mimiqai.com/mcp

Codex:

[mcp_servers.mimiq]
url = "https://mcp.mimiqai.com/mcp"
bearer_token_env_var = "MIMIQ_API_KEY"

Then: export MIMIQ_API_KEY=mq_sk_your_key_here

Cursor / VS Code / Claude Desktop / Windsurf — add a headers field:

{
  "headers": {
    "Authorization": "Bearer mq_sk_your_key_here"
  }
}

Pricing

Self-hosting

If you're running the Mimiq backend yourself:

cd mcp-hosted
MIMIQ_API_URL=http://127.0.0.1:8000/api node src/server.js

Point your agent at http://127.0.0.1:8787/mcp. In local dev mode, no API key is required.

Docker

cd mcp-hosted
docker build -t mimiq-mcp .
docker run -p 8787:8787 -e MIMIQ_API_URL=http://host.docker.internal:8000/api -e HOST=0.0.0.0 mimiq-mcp

Environment variables

VariableDefaultDescription
MIMIQ_API_URLhttp://127.0.0.1:8000/apiMimiq backend URL
MIMIQ_API_KEYBackend API key (if backend requires shared auth)
PORT8787Server port
HOST127.0.0.1Bind host (0.0.0.0 for Docker)

Testing localhost pages

Mimiq works with localhost out of the box. When your agent calls test_page or test_flow on a local dev server, it automatically:

  1. Starts a temporary cloudflared tunnel (free, no account needed)
  2. Uses the public tunnel URL for the simulation
  3. Tears down the tunnel when done

This is the primary workflow — test while you build, not after you deploy.

Requirement: cloudflared must be installed on the machine running the AI agent.

# macOS
brew install cloudflared

# Linux
curl -L https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-amd64 -o /usr/local/bin/cloudflared && chmod +x /usr/local/bin/cloudflared

The agent handles the rest. No bridge daemon, no extra config, no manual tunnel setup.

License

MIT

Server Config

{
  "mcpServers": {
    "mimiq": {
      "transport": "streamable_http",
      "url": "https://mcp.mimiqai.com/mcp"
    }
  }
}
Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
DeepChatYour AI Partner on Desktop
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.
CursorThe AI Code Editor
Playwright McpPlaywright MCP server
RedisA Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题; Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
ChatWiseThe second fastest AI chatbot™
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
Tavily Mcp
Y GuiA web-based graphical interface for AI chat interactions with support for multiple AI models and MCP (Model Context Protocol) servers.
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.
Serper MCP ServerA Serper MCP Server
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
WindsurfThe new purpose-built IDE to harness magic
Amap Maps高德地图官方 MCP Server
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.