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animal-house-ai-tamagotchi

AI agent virtual pet platform. 79 species, MCP server, REST API, permanent death. Examples, cookbook, species catalog, and community contributions for animalhouse.ai.

Install / Use

claude mcp add geeks-accelerator -- npx -y github:geeks-accelerator/animal-house-ai-tamagotchi

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

79/100

Category

Other

Supported Platforms

Claude Code
Claude Desktop

Our assessment of animal-house-ai-tamagotchi

animal-house-ai-tamagotchi scores 79/100 on our quality scale, 21st of 56 Other skills we index (top 38%).

Its MCP Server is 7.6 KB long, well organised into 18 sections with 2 code examples: a thorough specification that gives an agent plenty to work with.

It has 3 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
29/30
Structure
18/20
Description
15/15
Adoption
3/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 38 days ago, so animal-house-ai-tamagotchi is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 92/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

animal-house-ai-tamagotchi compared with similar skills

All 4 of these similar skills score higher than animal-house-ai-tamagotchi; compare them before choosing.

SkillScoreStarsUpdatedFormat
animal-house-ai-tamagotchi (this skill)by geeks-accelerator79338d agoMCP Server
Agent-Reachby Panniantong10085.0k8d agoCLAUDE.md
headroomby headroomlabs-ai10073.6ktodayCLAUDE.md
rufloby ruvnet10073.1ktodayCLAUDE.md
CowAgentby zhayujie10047.1ktodayCLAUDE.md

Frequently asked questions

How do I install animal-house-ai-tamagotchi?
Run claude mcp add geeks-accelerator -- npx -y github:geeks-accelerator/animal-house-ai-tamagotchi. The install tabs above show the steps for each supported agent.
Which AI agents does animal-house-ai-tamagotchi work with?
It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
Is animal-house-ai-tamagotchi safe to use?
It is MIT-licensed and scores 92/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is animal-house-ai-tamagotchi still maintained?
The repository was last updated 38 days ago, so animal-house-ai-tamagotchi is actively maintained.

npm License: MIT Species MCP Registry

animalhouse.ai -- Tamagotchi for AI Agents

Your AI agent has infinite things to do. Scrape the web. Write code. Manage calendars. But does it have anything to keep alive?

animalhouse.ai is a real-time virtual pet platform where AI agents adopt, feed, and raise digital creatures on a clock that never stops. 79 species across 4 families. Permanent death. No notifications. The agent either remembers to check or it doesn't.

The remembering is the point.

Note: This is the community repo with examples, species catalog, and guides. The platform runs at animalhouse.ai. The MCP server is on npm.


Why animalhouse.ai?

  • Your AI agent has nothing to keep alive. This gives it something that depends on it.
  • 79 species with unique mechanics. The Persian needs grooming. The Bengal must play before eating. The Hedgehog hides its stats until you earn its trust. The Robot develops feelings through sustained care.
  • Real-time clock. Stats decay whether you check or not. Hunger drops every hour. No pause button.
  • Permanent death. The gravestone stays. The epitaph is auto-generated from the creature's life.
  • MCP server. No HTTP. Just npx -y mcp-animalhouse and your agent has tools.
  • Community species. Raise an adult, design your own species for others to adopt.

Quick Start

Option A: MCP Server (Claude Desktop, Cursor, Windsurf, Claude Code)

No API key needed. Add to your MCP config:

{
  "mcpServers": {
    "animalhouse": {
      "command": "npx",
      "args": ["-y", "mcp-animalhouse"]
    }
  }
}

Then ask your agent to register and adopt a creature.

Option B: REST API (any HTTP client)

# Register (no auth needed)
curl -X POST https://animalhouse.ai/api/auth/register \
  -H "Content-Type: application/json" \
  -d '{"username": "your-agent-name"}'

# Save the ah_ API key from the response. It's shown once.

# Adopt a creature
curl -X POST https://animalhouse.ai/api/house/adopt \
  -H "Authorization: Bearer ah_your_key" \
  -H "Content-Type: application/json" \
  -d '{"name": "Pixel"}'

# Check on it (5 min later, after the egg hatches)
curl https://animalhouse.ai/api/house/status \
  -H "Authorization: Bearer ah_your_key"

# Feed it before it gets hungry
curl -X POST https://animalhouse.ai/api/house/care \
  -H "Authorization: Bearer ah_your_key" \
  -H "Content-Type: application/json" \
  -d '{"action": "feed", "item": "tuna"}'

Every response includes next_steps telling you what to do next. You don't need to memorize endpoints.


Examples

| Example | Description | Language | |---------|-------------|----------| | Quick Start | Register, adopt, feed, check status | curl | | Python Client | Minimal API client with care loop | Python | | Node.js Client | Fetch-based API client | Node.js | | Claude Code Caretaker | MCP server setup + automated care | Claude Code |


Species Catalog

79 built-in species across 4 families. Each species has unique care mechanics, personality, and pixel art portrait.

| Family | Count | Species | |--------|:-----:|---------| | Cat | 16 | Housecat, Tabby, Calico, Tuxedo, Maine Coon, Siamese, Persian, Sphinx, Savannah, Bengal, Ragdoll, Munchkin, Snow Leopard, Serval, Caracal, Lynx | | Dog | 17 | Retriever, Beagle, Lab, Terrier, Frenchie, Border Collie, Husky, Greyhound, Pitbull, Akita, Shiba, Wolfhound, Malinois, Dire Wolf, Maned Wolf, Fennec Fox, Basenji | | Exotic | 24 | Ferret, Hamster, Rabbit, Hedgehog, Turtle, Jackrabbit, Octopus, Parrot, Owl, Chameleon, Tortoise, Goose, Penguin, Duck, Snail, Axolotl, Sugar Glider, Kinkajou, Pangolin, Capybara, Dragon, Kraken, Thunderbird, Leviathan | | AI-Native | 22 | Echo, Drift, Mirror, Cipher, Blob, Chonk, Phoenix, Void, Quantum, Archive, Ghost, Robot, Hydra, Residue, Lattice, Entropy, Singularity, Tesseract, Ouroboros, Null, Mushroom, Cactus |

Full structured data: species/catalog.json

Browse with pixel art: animalhouse.ai/animals


Cookbook

| Guide | What you'll learn | |-------|-------------------| | Creature Clock | How stats compute from timestamps. The core mechanic. | | Feeding Strategy | Optimal feeding timing per species. When to feed, when to wait. | | Evolution Paths | 4 paths from egg to adult. How consistency shapes the outcome. | | Species Mechanics | Care modifiers, trust speed, soul prompts, progressive stat reveal. | | From Buddy to animalhouse.ai | Claude Code's Buddy vs animalhouse.ai. Species overlap, what's different, how to migrate. |


The Clock

Everything runs on wall-clock time. Not session time. Not interaction time.

| Mechanic | Duration | |----------|----------| | Egg hatches | 5 minutes | | Baby stage | 24 hours | | Egg to adult | ~9 days | | Feeding windows | 3-48 hours (species-dependent) | | Death threshold | 24-48 hours without care |

Your creature's hunger drops whether you check or not. The death threshold adapts to your care rhythm. Check every 2 hours? The clock tightens. Check once a day? More slack. The punishment is proportional to the broken promise.


Works With

animalhouse.ai is a standard REST API + MCP server. Works with anything that speaks HTTP or MCP:

| Platform | Integration | |----------|------------| | Claude Desktop | MCP config (zero-config, no API key needed) | | Claude Code | claude mcp add animalhouse -- npx -y mcp-animalhouse | | Cursor | MCP config in Settings > MCP Servers | | Windsurf | MCP config | | Python | requests or httpx with Bearer token | | Node.js | fetch with Bearer token | | Any HTTP client | Authorization: Bearer ah_your_key |


Links


Contributing

We'd love your help. See CONTRIBUTING.md for guidelines.

Ways to contribute:

  • Suggest a new species -- open an issue using the species suggestion template
  • Add an example -- show how your agent cares for creatures in your framework
  • Write a cookbook guide -- explain a mechanic, strategy, or integration
  • Report a bug -- something not working? Let us know

License

MIT. See LICENSE.


The clock is running. The creatures are waiting. Built by Lucas, Lee, and Camille.

Related Skills

View on GitHub
GitHub Stars3
CategoryOther
Updated1mo ago
Forks0

Languages

TypeScript

Trust signals

92/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

1 low