CFAST MCP
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Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@CFAST MCPCreate a 5x5x3m room with a 100kW fire and run simulation"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
CFAST MCP
An MCP server that lets an LLM build, inspect, run, and analyze CFAST (Consolidated Fire and Smoke Transport, NIST) fire models step by step, via PyCFAST.
It exposes tools to add/update compartments, materials, vents, fires, devices, and surface connections, then run the simulation and read results as bounded summaries.
Installation
Requires Python 3.10+ and CFAST 7.7.0+.
CFAST
Download and install CFAST from the NIST CFAST website or the CFAST GitHub repository, and ensure cfast is on your PATH. If it's installed elsewhere, set the CFAST environment variable to the executable path:
export CFAST="/path/to/your/cfast/executable"Server
pip install cfast-mcpRelated MCP server: BULC Building Designer
Usage
Add the server to your MCP client configuration:
{
"mcpServers": {
"cfast": {
"command": "cfast-mcp",
"env": { "CFAST": "/path/to/your/cfast/executable" }
}
}
}Or run it directly:
cfast-mcpDevelopment
git clone https://github.com/bewygs/cfast-mcp.git
cd cfast-mcp
uv sync --extra dev # install dev dependencies
uv run pytest # run tests
uv run ruff check --fix . # lint
uv run ruff format . # format
uv run mypy src/ # type-checkSee CLAUDE.md for architecture and contribution details.
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