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pfc-mcp

Connector Development Usable

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

68 starsMIT (commercial OK)FreeNo code needed
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Eliminates friction in DEM simulation workflows by enabling engineers to configure and execute complex particle flow simulations via conversational AI rather than manual parameter entry, reducing iteration time and lowering barriers for non-experts.

Geotechnical and mining engineers running routine PFC simulations who need faster iteration cycles and lower technical overhead.

Claude Code Claude Cowork Claude Chat

https://github.com/yusong652/pfc-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 pfc-mcp -- npx -y pfc-mcp

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

CostFree

Trust Signals Auto-scanned

Stars68Last updated2026-06-04LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-06-04 · scanner v1

Data & Access

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

Community Pulse Emerging

Discussed on Hacker News

1 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 68 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

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): 68 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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