itasca-mcp
Enables non-specialists to run complex discrete element method simulations via conversational AI, reducing setup time and expertise barriers for geotechnical…
MCP server that connects AI agents to ITASCA's numerical modeling software — PFC, FLAC, 3DEC, MPoint, and MassFlow — for discrete element and geotechnical simulation through natural conversation. Ten tools: five documentation tools (browse and search the selected engine's commands, Python API, and reference docs) that work standalone, and five execution tools (interactive REPL, task submission, progress monitoring, interruption, history) that require a bridge running inside the engine.
- Ask Claude to run discrete element method simulations without writing ITASCA commands manually
- Generate particle flow simulation results by describing your model parameters in plain English
- Automate DEM analysis workflows by having Claude execute multiple ITASCA PFC simulations sequentially
Enables non-specialists to run complex discrete element method simulations via conversational AI, reducing setup time and expertise barriers for geotechnical and mining engineering workflows.
Geotechnical engineers and mining teams needing rapid DEM simulation iteration without deep ITASCA PFC expertise.
https://github.com/yusong652/itasca-mcp
By yusong652
How to Get It
claude mcp add itasca-mcp -- uvx itasca-mcp
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Once it’s connected, paste this into Claude:
Run discrete element method simulations without writing ITASCA commands manually
Trust Signals Auto-scanned
Data & Access
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 104 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Documentation tools work standalone, but the five execution tools require downloading addon.py and starting the bridge inside the ITASCA engine's IPython console — and re-starting it each new engine session. Evidence-based evaluation: scored from public trust signals, not hands-on tested.
How to evaluate tools before deploying →
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Evaluation
Scored from trust signals (evidence-eval-v1): 104 GitHub stars; contributors unknown; last commit 0d ago; license MIT.