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flac-mcp

Connector Development Usable

MCP server connecting AI agents to ITASCA FLAC — run continuum simulations through natural conversation

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

Enables engineering teams to execute complex geotechnical and continuum mechanics simulations via conversational AI, reducing setup friction and making advanced modeling accessible to non-specialists without deep FLAC expertise.

Geotechnical engineers and civil consultants running soil-structure interaction or excavation stability analyses through natural language interfaces.

Claude Code Claude Cowork Claude Chat

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

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

CostFree

Trust Signals Auto-scanned

Stars29Last updated2026-06-20LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-06-21 · 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): 29 GitHub stars; contributors unknown; last commit 1d 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
2/5
Reliability
3/5
Security
3/5
Overall score2.75 / 5.00 UsableEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 29 GitHub stars; contributors unknown; last commit 1d ago; license MIT.

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