mcpField
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MCPet

MCPet

Local
github.com/shreyaskarnikGames & Entertainment13Updated 84w ago

About MCPet

MCPet is a TypeScript MCP server that demonstrates tool interactions through a virtual-pet simulation. It is for people exploring pet-care interactions, with pets that progress through life stages and change stats over time.

Key features

  1. 01Choose a cat, dog, dragon, or alien
  2. 02Progress through four life stages
  3. 03Manage hunger, happiness, health, and more
  4. 04Feed, play with, clean, and rest pets
  5. 05Show dynamic ASCII animations

Use cases

  1. 01Create and care for a virtual pet
  2. 02Check how interactions change pet stats
  3. 03Explore MCP tools through pet care

MCP support

It exposes tools to MCP clients for creating pets, checking status, feeding, playing, cleaning, and putting pets to bed.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"mcpet": {
"command": "npx",
"args": [
"-y",
"@smithery/cli"
]
}
}
}
Run commandnpx -y @smithery/cli

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@smithery/cli

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MCPet

MCPet

smithery badge

MCPet: A nostalgic virtual pet experience for the AI age! This Model Context Protocol (MCP) server lets you adopt, nurture, and play with your very own digital companion that evolves based on your care. Feed them, clean them, play games together, and watch them grow from a baby to an adult. Your pet's stats change over time even when you're away - just like the classic Tamagotchi toys, but powered by modern AI through the Model Context Protocol. Adopt your digital friend today!

This is a TypeScript-based MCP server that implements a virtual pet simulation system. It demonstrates core MCP concepts by providing tools for pet care and interaction.

Features

Virtual Pet Types
  • Choose from four pet types:
    • Cat - Slightly moody but lovable
    • Dog - Energetic and always happy to see you
    • Dragon - Unique and fiery personality
    • Alien - Mysterious and curious
Pet Lifecycle
  • Watch your pet evolve through four stages:
    • Baby - Small and vulnerable
    • Child - Growing and playful
    • Teen - Energetic and developing
    • Adult - Fully grown and wise
Stats Management
  • Care for your pet by managing five key stats:
    • Hunger - Keep your pet well-fed
    • Happiness - Play with your pet to keep them happy
    • Health - Overall wellbeing affected by other stats
    • Energy - Depletes with activity, replenishes with rest
    • Cleanliness - Regular baths keep your pet fresh
Tools
  • create_pet - Adopt a new pet with a custom name and type
  • check_pet - View your pet's current status and stats
  • feed_pet - Feed your pet with different food options:
    • Snack - Small hunger boost
    • Meal - Balanced nutrition
    • Feast - Maximum feeding (but can be unhealthy)
  • play_with_pet - Play different games:
    • Ball - Light exercise
    • Chase - High energy fun
    • Puzzle - Mental stimulation
  • clean_pet - Give your pet a bath to restore cleanliness
  • put_to_bed - Let your pet sleep to restore energy
Animations
  • Dynamic ASCII art animations for each pet type and activity
  • Randomized frames create a lively and engaging experience
  • Special animations for:
    • Eating different foods
    • Playing various games
    • Bathing
    • Sleeping
    • Being sick
    • And more!

Development

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

Installation

Installing via Smithery

To install MCPet for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @shreyaskarnik/mcpet --client claude

To use with Claude Desktop, add the server config:

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "mcpet": {
      "command": "node",
      "args": ["/path/to/mcpet/build/index.js"],
      "env": {
        "PET_DATA_DIR": "/path/to/writable/directory"
      }
    }
  }
}

Note: The PET_DATA_DIR environment variable specifies where pet data will be stored. Make sure this is a directory with write permissions.

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector:

npx @modelcontextprotocol/inspector node /path/to/mcpet/build/index.js

The Inspector will provide an interface for testing your pet interactions directly.

Usage Examples

Ask Claude questions like:

  • "Can you create a cat pet named Whiskers?"
  • "How is my pet doing?"
  • "Can you feed my pet a meal?"
  • "I'd like to play chase with my pet"
  • "My pet looks dirty, can you give it a bath?"
  • "My pet seems tired, can you put it to bed?"

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.