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NetLogo-MCP

Connector Data & Analytics Usable
Works inClaude Code Claude Cowork Claude Chat
Usable Scanned — metadata only

Enables teams to build and validate complex system simulations through conversational AI, reducing engineering time for modeling scenarios like resource allo…

The first MCP (Model Context Protocol) server for NetLogo, enabling AI assistants like Claude to create, run, and analyze agent-based models through natural conversation.

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

Enables teams to build and validate complex system simulations through conversational AI, reducing engineering time for modeling scenarios like resource allocation, network behavior, or supply chain dynamics without manual coding expertise.

Data scientists and operations engineers prototyping multi-agent simulations and emergent system behavior analysis.

Claude Code Claude Cowork Claude Chat

https://github.com/Razee4315/NetLogo-MCP

By Razee4315

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 NetLogo-MCP -- npx -y NetLogo-MCP

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

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

Once it’s connected, paste this into Claude:

Build a supply chain simulation model showing how inventory delays affect delivery times
CostFree

Trust Signals Auto-scanned

Stars25Last updated2026-08-01LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-01 · 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): 25 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

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 UsableEvaluatedAug 2026
Scored from trust signals (evidence-eval-v1): 25 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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