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NetLogo MCP Server

@Razee4315

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基本情報

カテゴリ

その他

トランスポート

stdio

作者

Razee4315

投稿者

Saqlain Razee

NetLogo MCP Server について

The first MCP server for NetLogo, the most widely used agent-based modeling platform. Lets AI assistants create models with real interface widgets, run simulations and BehaviorSpace parameter sweeps, export world views as PNG, and safely run peer-reviewed models from the CoMSES N

#netlogo#agent-based-modeling#simulation#research#complexity-science#behaviorspace

NetLogo MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "netlogo": {
      "command": "netlogo-mcp",
      "args": [],
      "env": {
        "NETLOGO_HOME": "C:/Program Files/NetLogo 7.0.3",
        "JAVA_HOME": "C:/Program Files/Eclipse Adoptium/jdk-25.0.2.10-hotspot"
      }
    }
  }
}

NetLogo MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is NetLogo MCP?

NetLogo MCP is a Model Context Protocol server for NetLogo, the most widely used agent‑based modeling platform. It provides 25 tools for creating models with interface widgets (sliders, switches, buttons, monitors, live plots), running simulations and collecting tick‑by‑tick data, performing headless BehaviorSpace parameter sweeps, exporting the world view as PNG, and integrating with the peer‑reviewed CoMSES Net model library. It supports GUI (live simulation watching) and headless modes and runs on Windows, macOS, and Linux. It is designed for researchers, educators, and students in complexity science, ecology, economics, and social science.

How to use NetLogo MCP?

Install the package via pip install netlogo-mcp. Requires Python 3.10+, a NetLogo installation, and a JDK 11+. A zero‑config setup script and per‑client configuration for tools like Claude Code, Claude Desktop, and Cursor are detailed in the README. Use example prompts such as “Create a simple NetLogo model with 50 turtles doing a random walk. Run setup, simulate 100 ticks, and export the view” to interact with the server.

Key features of NetLogo MCP

  • Create models with real interface widgets: sliders, switches, buttons, monitors, live plots
  • Run simulations and collect tick‑by‑tick data from agents and patches
  • BehaviorSpace parameter sweeps — headless, parallel experiment runs
  • Export the world view as PNG, displayed inline in chat
  • CoMSES Net integration — search and safely run peer‑reviewed models
  • GUI mode (watch live) and headless mode; 25 tools total

Use cases of NetLogo MCP

  • Teach agent‑based modeling by creating and running simple random‑walk models interactively
  • Perform parameter sensitivity analysis on published models (e.g., Wolf Sheep Predation) using BehaviorSpace sweeps
  • Visually export simulation states for reports or presentations
  • Explore and execute models from the peer‑reviewed CoMSES Net library
  • Automate model runs and data collection in research workflows

よくある質問

1

What are the system requirements?

Python 3.10+, a NetLogo installation, and a JDK 11+ are required. The server runs on Windows, macOS, and Linux.

2

Can I run simulations without a graphical interface?

Yes — headless mode is supported for BehaviorSpace sweeps and other automated runs.

3

Can I search and run peer‑reviewed models?

Yes — NetLogo MCP integrates with CoMSES Net, allowing you to search and safely run models from that library.

4

How many tools does the server provide?

The server exposes 25 tools for creating, running, and exporting NetLogo models.

5

Does NetLogo MCP support GUI interaction?

Yes — in GUI mode you can watch the simulation live as it runs.

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