PFC - ITASCA Discrete Element Simulation
平台与服务by yusong652
让 AI agents 完整访问 ITASCA PFC,包括文档查询、仿真操作以及绘图结果捕获。
什么是 PFC - ITASCA Discrete Element Simulation?
让 AI agents 完整访问 ITASCA PFC,包括文档查询、仿真操作以及绘图结果捕获。
README
itasca-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.

Tools (10)
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.
Example Prompts
- "Run a biaxial compression test on a dense specimen and plot the stress–strain curve"
- "Build a slope model in FLAC3D and find the factor of safety"
- "Model a tunnel excavation in jointed rock with 3DEC and check block displacements around the opening"
- "Simulate a landslide runout with MPoint and report the final deposit profile"
- "The simulation is still running — check the current unbalanced force without stopping it"
- "What's different about the
zonecommands between FLAC 7.0 and 9.0?"
First-time Setup
Prerequisites
- An ITASCA engine installed — PFC, FLAC, 3DEC, MPoint, or MassFlow. 9.0+ recommended; PFC 6.0 / 7.0, FLAC 7.0, and 3DEC 7.0 are also supported.
- uv installed (for
uvx) - An AI agent — Claude Code, Codex CLI, Gemini CLI, or any MCP-capable client
Agentic Setup (Recommended)
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
Manual Setup
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, ...):
- Copy the file contents into the engine's IPython console and run them
- Or download the file and execute it in the engine GUI
Verify
Restart your AI agent and ask it to call itasca_execute_code to verify the connection.
Daily Startup
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.
Features
- Multi-engine corpus - command, Python API, and reference docs for PFC, FLAC, 3DEC, MPoint, and MassFlow, selected via the required
softwareparameter - Multi-version support - command docs across engine versions (PFC: 6.0/7.0/9.0, FLAC: 7.0/9.0, 3DEC: 7.0/9.0) via the
versionparameter - Hierarchical documentation browsing - agents navigate the engine command tree to discover capabilities and boundaries, reducing hallucinated commands
- Enhanced plot documentation - plot items reference docs supplementing the official documentation
- Live REPL alongside running tasks - execute code while a simulation is running: check model state and intermediate results without stopping the task; also useful for quick iteration before writing a full script
- Task lifecycle management - submit long-running simulations, monitor progress, interrupt running tasks, and browse task history
- Multi-client compatible - works with Claude Code, Codex CLI, Gemini CLI, GitHub Copilot CLI, OpenCode, toyoura-nagisa, and other MCP clients
Troubleshooting
See Troubleshooting in the bootstrap guide.
Development
See Developer Guide: Install and Run from Source.
<a href="https://glama.ai/mcp/servers/yusong652/itasca-mcp"> <img width="200" height="105" src="https://glama.ai/mcp/servers/yusong652/itasca-mcp/badge" alt="itasca-mcp MCP server" /> </a>Contributing
PRs and issues are welcome! See the Developer Guide to get started.
License
MIT - see LICENSE.
<!-- mcp-name: io.github.yusong652/itasca-mcp -->常见问题
PFC - ITASCA Discrete Element Simulation 是什么?
让 AI agents 完整访问 ITASCA PFC,包括文档查询、仿真操作以及绘图结果捕获。
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