# tamagotchi-mcp

> Use this tool when you need to simulate human-like interactions with a virtual pet, enabling an LLM to learn and respond to its needs through actions like feeding, playing, and sleeping. It solves problems related to AI training and testing in scenarios requiring nurturing and responsibility. The tool accepts LLM inputs and provides real-time state visualization through a read-only web UI.

Canonical page: https://skillsregistry.net/skills/misaelvillaverde-tamagotchi-mcp-2  
JSON: https://api.skillsregistry.net/v1/skills/misaelvillaverde-tamagotchi-mcp-2

## Description

Enables an LLM to care for a virtual pet with actions like feeding, playing, and sleeping, plus a read-only web UI for real-time state visualization.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zxw93ufmud)
- **Repository:** <https://github.com/misaelvillaverde/tamagotchi-mcp-2>

## 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": "misaelvillaverde-tamagotchi-mcp-2"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/misaelvillaverde-tamagotchi-mcp-2` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/misaelvillaverde-tamagotchi-mcp-2/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