# vivarium

> vivarium — martinkuzma-vivarium. Use this tool when you need to simulate complex systems with multiple interacting agents, and model conditional probabilities to analyze and predict behavior. The vivarium engine solves problems in fields such as epidemiology, social science, and biology, by allowing users to input custom models and parameters, and outputting simulation results and visualizations. It is particularly useful when you need to model dynamic systems with uncertain outcomes, and can be integrated with git for version control and collaboration.

Canonical page: https://skillsregistry.net/skills/martinkuzma-vivarium  
JSON: https://api.skillsregistry.net/v1/skills/martinkuzma-vivarium

## Description

Agent based simulation engine with MCP support

## Trust

- **Trust score (0–1):** 0.81
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/MartinKuzma/vivarium)

## 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": "martinkuzma-vivarium"
    }
  }
}
```

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