# ai.vortexiq/vortex-iq

> ai.vortexiq/vortex-iq — ai-vortexiq-vortex-iq. Use this tool when you need to access and analyze your VortexIQ store data, such as audits, KPIs, and reports, to inform business decisions and optimize performance. It provides read-only access to key data points, including Brand DNA and alerts, and allows for inquiries through Ask VIQ. Ideal for use cases requiring data-driven insights and visibility into store operations.

Canonical page: https://skillsregistry.net/skills/ai-vortexiq-vortex-iq  
JSON: https://api.skillsregistry.net/v1/skills/ai-vortexiq-vortex-iq

## Description

Read-only access to your VortexIQ store data: audits, KPIs, alerts, Brand DNA, reports, Ask VIQ.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.vortexiq%2Fvortex-iq)
- **Repository:** <https://github.com/veevortexiq/claude-mcp>

## Use it

MCP endpoint published by the skill: `https://app.vortexiq.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-vortexiq-vortex-iq"
    }
  }
}
```

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