Virtual Pet MCPet

0
0 Reviews
6 Stars
MCPet is a TypeScript-based server implementing a virtual pet experience, enabling users to adopt, care for, and interact with digital pets, which evolve over time based on user actions. It demonstrates core Model Context Protocol concepts with tools for feeding, playing, cleaning, and watching pets grow through various stages and types, providing an engaging AI-driven virtual pet ecosystem.
Added on:
Created by:
Mar 19 2025
Virtual Pet MCPet

Virtual Pet MCPet

0 Reviews
6
0
Virtual Pet MCPet
MCPet is a TypeScript-based server implementing a virtual pet experience, enabling users to adopt, care for, and interact with digital pets, which evolve over time based on user actions. It demonstrates core Model Context Protocol concepts with tools for feeding, playing, cleaning, and watching pets grow through various stages and types, providing an engaging AI-driven virtual pet ecosystem.
Added on:
Created by:
Mar 19 2025
Shreyas Karnik
Featured

What is Virtual Pet MCPet?

MCPet is an innovative virtual pet simulation system built with TypeScript that enables users to adopt and care for digital pets. It offers a range of customizable pets like cats, dogs, dragons, and aliens, each with unique personalities. Users can monitor their pets' stats, including hunger, happiness, health, energy, and cleanliness, and perform activities such as feeding, playing, cleaning, and putting pets to sleep. The system features dynamic ASCII animations, pet lifecycle management, and AI-driven interactions that provide a lively and engaging experience. It aims to showcase core MCP concepts by integrating tools that facilitate pet care, interaction, and growth, making it suitable for developers, pet enthusiasts, and AI researchers interested in virtual companions and simulation systems.

Who will use Virtual Pet MCPet?

  • Developers interested in virtual pet projects
  • AI and simulation enthusiasts
  • Game developers exploring AI-driven interactions
  • Educational users learning MCP concepts
  • Pet care app users

How to use the Virtual Pet MCPet?

  • Step 1: Set up the MCPet server environment by installing dependencies using 'npm install'.
  • Step 2: Build the server with 'npm run build' or run in watch mode with 'npm run watch' for development.
  • Step 3: Use MCP client tools to adopt a new pet with 'create_pet', specifying pet type and name.
  • Step 4: Check your pet's status with 'check_pet' to view its current stats and life stage.
  • Step 5: Interact by feeding, playing, cleaning, or putting your pet to bed using the respective tools.
  • Step 6: Observe animations and stat changes over time, even when away, to simulate real pet growth.

Virtual Pet MCPet's Core Features & Benefits

The Core Features
  • create_pet
  • check_pet
  • feed_pet
  • play_with_pet
  • clean_pet
  • put_to_bed
The Benefits
  • Engaging AI-driven virtual pet experience
  • Multiple pet types with unique behaviors
  • Dynamic lifecycle and stat management
  • Realistic animations and interactions
  • Open-source and customizable

Virtual Pet MCPet's Main Use Cases & Applications

  • Virtual pet gaming applications
  • AI research in simulated environments
  • Educational tools for simulating care and growth
  • Entertainment platforms featuring virtual companions
  • Prototype development for AI-based pet systems

FAQs of Virtual Pet MCPet

Developer

You may also like:

Developer Tools

A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.

Knowledge And Memory

A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
A Next.js-based chat interface connecting to MCP servers with tool-calling and styled UI.
An educational project demonstrating MCP server and client implementation using Python and TypeScript SDKs.
A Spring Boot-based MCP client demonstrating how to handle chat requests and responses in a robust application.
Spring Boot app providing REST API for AI inference and knowledge base management with language model integration.
A server that executes AppleScript commands, providing full control over macOS automations remotely.
An MCP server for managing notes with features like viewing, adding, deleting, and searching notes in Claude Desktop.
Fetches latest knowledge from deepwiki.com, converts pages to Markdown, and provides structured or single document outputs.
A client library enabling SSE-based real-time interaction with Notion MCP servers through a local setup.
Provides long-term memory for LLMs by storing and retrieving contextual information via MCP standards.

Entertainment And Media

A FastAPI server providing YouTube video metadata and transcripts for MCP clients and Cursor integration.
Enables interaction with powerful Text to Speech and video generation APIs for multimedia content creation.
A Minecraft client mod enabling SwordHvH and CrystalPvP with advanced features and customization.
An MCP server specifically designed for integrating and managing FFmpeg media processing tasks efficiently.
A MCP server for Microsoft Edge Text-to-Speech to enable natural-sounding speech synthesis for AI applications.
AI-powered tool for searching YouTube videos, retrieving transcripts, and semantic video content analysis without official API.
Automates MSPaint using AI to perform drawing, text addition, and shape operations through MCP tools.
Multiplayer Minesweeper server that allows users to create, join, and play Minesweeper games online seamlessly.
A server to control movie playback using VLC via MCP clients with remote command capabilities.
A Spotify MCP that creates playlists based on textual descriptions with OAuth authentication capabilities.