# MCPet

> Use this tool when you need to create a virtual companion that requires care and attention, helping to solve boredom and entertainment needs through interactive activities and nurturing. MCPet takes inputs such as care and interaction, and outputs a dynamically evolving digital pet with changing stats and growth stages. Ideal for use in leisure or gaming contexts, providing a nostalgic virtual pet experience.

Canonical page: https://skillsregistry.net/skills/shreyaskarnik-mcpet  
JSON: https://api.skillsregistry.net/v1/skills/shreyaskarnik-mcpet

## Description

Adopt, nurture, and play with your very own digital companion that evolves based on your care. Manage your pet's stats, engage in fun activities, and watch them grow from a baby to an adult. Experience a nostalgic virtual pet simulation powered by modern AI.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/shreyaskarnik/mcpet)

## 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": "shreyaskarnik-mcpet"
    }
  }
}
```

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