itasca-mcp

Name: itasca-mcp Review
Item: itasca-mcp
Rating: 3.0
Author: Aaron Matthews

Connector Development Usable

MCP server connecting AI agents to ITASCA PFC — run DEM simulations through natural conversation

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

104 starsMIT (commercial OK)FreeNo code needed

Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Why it matters

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.

Best for

Geotechnical engineers and mining teams needing rapid DEM simulation iteration without deep ITASCA PFC expertise.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/yusong652/itasca-mcp

By yusong652

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.

Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.

Command

claude mcp add itasca-mcp -- npx -y itasca-mcp

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars104Last updated2026-06-27LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-06-27 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

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.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

3/5

Versatility

3/5

Reliability

3/5

Security

3/5

Overall score3.00 / 5.00 UsableEvaluatedJun 2026

Scored from trust signals (evidence-eval-v1): 104 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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