# CFAST MCP

> Use this tool when you need to simulate and analyze complex fire scenarios, as it enables the creation and inspection of CFAST fire models with various components such as compartments and vents. It solves problems related to fire safety and risk assessment by providing simulation and result summaries. The tool accepts input parameters for fire models and outputs detailed simulation results and summaries.

Canonical page: https://skillsregistry.net/skills/bewygs-cfast-mcp  
JSON: https://api.skillsregistry.net/v1/skills/bewygs-cfast-mcp

## Description

Enables LLMs to build, inspect, run, and analyze CFAST fire models step by step via tools for compartments, materials, vents, fires, devices, and surface connections, with simulation and result summaries.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sy31rp4s87)
- **Repository:** <https://github.com/bewygs/cfast-mcp>

## 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": "bewygs-cfast-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bewygs-cfast-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bewygs-cfast-mcp/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