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MCP server for [ITASCA PFC](https://www.itascacg.com/software/pfc) discrete element simulation — browse documentation, execute scripts, capture plots, and manag
MCP server for [ITASCA PFC](https://www.itascacg.com/software/pfc) discrete element simulation — browse documentation, execute scripts, capture plots, and manage long-running tasks via a WebSocket bridge to the PFC GUI.
PyPI Downloads GitHub stars License: MIT Python 3.10+
pfc3d>model new ;now, with LLM.
pfc-mcp connects AI agents to ITASCA PFC through the Model Context Protocol — browse documentation, run simulations, and execute code, all through natural conversation.
pfc3d>model solve ;LLM solves.

5 documentation tools — browse and search PFC 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/pfc-mcp/main/docs/agentic/pfc-mcp-bootstrap.md
1. Register the MCP server in your client config:
{
"mcpServers": {
"pfc-mcp": {
"command": "uvx",
"args": ["pfc-mcp"]
}
}
}
2. Start the bridge from inside PFC:
Download addon.py, then use either of these two flows inside PFC:

Restart your AI agent (Claude Code, Codex CLI, Gemini CLI, etc.) and ask it to call pfc_execute_code to verify the connection.
version parameterSee Developer Guide: Install and Run from Source.
PRs and issues are welcome! See the Developer Guide to get started.
MIT - see LICENSE.
Добавь это в claude_desktop_config.json и перезапусти Claude Desktop.
{
"mcpServers": {
"yusong652-pfc-mcp": {
"command": "npx",
"args": []
}
}
}