# Vitra AI Multi-Agent

> Use this tool when you need to provide intelligent customer support across multiple domains of expertise in health and wellness retail, particularly in Portuguese-speaking markets. It solves problems related to general customer service, sales transactions, and body care advice by coordinating specialized sub-agents to offer hierarchical support. With inputs including customer inquiries and outputs such as personalized advice and sales assistance, this tool is ideal for e-commerce platforms seeking to enhance their customer service capabilities.

Canonical page: https://skillsregistry.net/skills/rafegal-vitra-ai-multi-agent  
JSON: https://api.skillsregistry.net/v1/skills/rafegal-vitra-ai-multi-agent

## Description

Multi-agent system built with Google's ADK (Agent Development Kit) that creates a hierarchical customer service architecture for health and wellness retail. The implementation features a root agent that coordinates three specialized sub-agents: a shop attendant for general customer service, a seller for sales transactions, and a health mate for body care advice. Built for Portuguese-speaking markets, it leverages Gemini 2.5 Flash as the primary model and includes an MCP server component for search functionality, making it suitable for e-commerce platforms that need intelligent customer support across multiple domains of expertise.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ecommerce
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/rafegal-vitra-ai-multi-agent)
- **Repository:** <https://github.com/rafegal/multi-agent-lab>

## 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": "rafegal-vitra-ai-multi-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rafegal-vitra-ai-multi-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rafegal-vitra-ai-multi-agent/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