# iMario

> iMario — ai-imario-imario. Use this tool when you need to gauge audience reactions to various marketing elements, such as copy, pages, prices, and images. iMario solves problems related to understanding consumer preferences and opinions by simulating feedback from Synthetic Individuals. It takes in marketing materials as input and outputs valuable insights on audience reactions, helping you refine your marketing strategy.

Canonical page: https://skillsregistry.net/skills/ai-imario-imario  
JSON: https://api.skillsregistry.net/v1/skills/ai-imario-imario

## Description

Synthetic audiences built from real people. Ask anyone anything before you decide.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.imario%2Fimario)

## Use it

MCP endpoint published by the skill: `https://mcp.imario.ai/mcp`

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": "ai-imario-imario"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-imario-imario` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-imario-imario/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