MCP server connecting AI agents to ITASCA FLAC — run continuum simulations through natural conversation

README
flac3d>model new ;now, with LLM.
flac-mcp connects AI agents to ITASCA FLAC through the Model Context Protocol — browse documentation, run simulations, and execute code, all through natural conversation.
flac3d>model solve ;LLM solves.
5 documentation tools — browse and search FLAC commands, Python API, and reference docs. No bridge required.
5 execution tools — interactive REPL, task submission, progress monitoring, interruption, and history. Requires bridge.
uvx)Copy this to your AI agent and let it self-configure:
Fetch and follow this bootstrap guide end-to-end:
https://raw.githubusercontent.com/yusong652/flac-mcp/main/docs/agentic/flac-mcp-bootstrap.md
1. Register the MCP server in your client config:
{
"mcpServers": {
"flac-mcp": {
"command": "uvx",
"args": ["flac-mcp"]
}
}
}
**2. Start the b