Deprecated. Deprecated by the publisher: Renamed and expanded: now published as io.github.yusong652/itasca-mcp (PyPI: itasca-mcp), covering PFC, FLAC3D and 3DEC. The pfc-mcp package is frozen.
Give AI agents full access to ITASCA PFC - documentation, simulation, and plot capture.
Runs on your machine from its package; the steps are below.

Not assessed yet.
Odel charges nothing per call. The publisher may charge for its own service.
Runs locally over stdio
This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).
Run
uvx pfc-mcp
MCP client config
{
"mcpServers": {
"pfc-itasca-discrete-element-simulation": {
"command": "uvx",
"args": [
"pfc-mcp"
]
}
}
}
itasca>model new ;now, with LLM.
itasca-mcp connects AI agents to ITASCA's geomechanics simulation software — PFC, FLAC, 3DEC, MPoint, and MassFlow — through the Model Context Protocol. Browse documentation, run simulations, and execute code, all through natural conversation.
itasca>model solve ;LLM solves.

5 documentation tools — browse and search the selected engine's commands, Python API, and reference docs. No bridge required.
5 execution tools — interactive REPL, task submission, progress monitoring, interruption, and history. Requires bridge.
plot commands in the docs, then plot the contact force chains of the current model"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/itasca-mcp/main/docs/agentic/itasca-mcp-bootstrap.md
1. Register the MCP server with your agent.
Most agents register it with a single command:
# Claude Code
claude mcp add itasca-mcp -- uvx itasca-mcp
# Codex / Codex-cli
codex mcp add itasca-mcp -- uvx itasca-mcp
# Gemini CLI
gemini mcp add itasca-mcp uvx itasca-mcp
Or fill in the MCP config file manually:
{
"mcpServers": {
"itasca-mcp": {
"command": "uvx",
"args": ["itasca-mcp"]
}
}
}
2. Start the bridge from inside the ITASCA engine:
Download addon.py, then use either of these two flows inside the engine GUI (PFC, FLAC, 3DEC, ...):
Restart your AI agent and ask it to call itasca_execute_code to verify the connection.
Once first-time setup is done, each new engine session only needs the bridge re-started — run this in the engine's IPython console and you're back online:
import itasca_mcp_bridge
itasca_mcp_bridge.start()
start() checks PyPI for a newer bridge release and self-upgrades before starting. The MCP client config persists.
software and version parametersconsole.exeSee Troubleshooting in the bootstrap guide.
See Developer Guide: Install and Run from Source.
PRs and issues are welcome! See CONTRIBUTING.md for where changes land and how the documentation corpus is structured, and the Developer Guide for the source install.
MIT - see LICENSE.