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NetLogo MCP Server

@Razee4315

Repository

Basic information

Category

Other

Transports

stdio

Author

Razee4315

Submitted by

Saqlain Razee

About NetLogo MCP Server

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 config

Add this server to your MCP-compatible client using the configuration below.

{
  "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 tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

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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