# simengine-mcp

> simengine-mcp — cogswellspacely8-star-simengine. Use this tool when you need to simulate uncertain futures and evaluate safety constraints through Monte Carlo simulations. It solves problems related to optimization and uncertainty analysis by taking JSON domain configurations as input and providing structured results as output. Ideal for use cases requiring probabilistic forecasting and decision-making under uncertainty.

Canonical page: https://skillsregistry.net/skills/cogswellspacely8-star-simengine  
JSON: https://api.skillsregistry.net/v1/skills/cogswellspacely8-star-simengine

## Description

Enables running Monte Carlo simulations, safety constraint evaluation, and optimization from JSON domain configs. Provides AI agents with a tool to simulate uncertain futures and obtain structured results.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iekntyzb3s)
- **Repository:** <https://github.com/cogswellspacely8-star/simengine>

## 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": "cogswellspacely8-star-simengine"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cogswellspacely8-star-simengine` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cogswellspacely8-star-simengine/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