NetLogo MCP
Prototype and run NetLogo agent-based simulations from natural language before committing to a full analytics or research stack.
Overview
NetLogo MCP is a MCP server for the Validate phase that lets you create, run, and analyze NetLogo agent-based models through your AI assistant.
What is this MCP server?
- Create, run, and analyze NetLogo 7.0+ models via conversational MCP tools
- GUI or headless modes via NETLOGO_GUI (default windowed; false for headless)
- Requires NETLOGO_HOME and Java JDK 11+ (JAVA_HOME), not a JRE alone
- PyPI package netlogo-mcp v1.0.2 with stdio transport
- Server version 1.0.2 published on PyPI as netlogo-mcp
- Targets NetLogo 7.0+ with required NETLOGO_HOME
- Three environment variables documented including optional NETLOGO_GUI
Community signal: 17 GitHub stars.
What problem does it solve?
Building and iterating NetLogo ABMs manually is slow when you want to test many parameter stories before you know the idea holds up.
Who is it for?
Builders, students, or indie researchers validating system dynamics with NetLogo 7 who already use MCP-enabled coding agents.
Skip if: Teams shipping production web or mobile apps with no NetLogo install, or anyone unwilling to manage Java JDK and local NetLogo paths.
What do I get? / Deliverables
With NetLogo and JDK configured, your agent can drive model creation, execution, and analysis so you get quicker behavioral prototypes from conversation.
- Conversational control over NetLogo model lifecycle
- Runnable simulations in GUI or headless mode
- Analysis-oriented workflows tied to ABM experiments
Recommended MCP Servers
Journey fit
Agent-based models are fastest proof for dynamics and assumptions, which maps to Validate where you prototype ideas. NetLogo-MCP creates, executes, and analyzes models interactively—classic prototype work, not production app frontend.
How it compares
NetLogo simulation MCP, not a general data-warehouse or browser automation server.
Common Questions / FAQ
Who is NetLogo MCP for?
It is for people prototyping agent-based models in NetLogo who want Claude, Cursor, or similar agents to help author, run, and interpret simulations.
When should I use NetLogo MCP?
Use it during validation when you need fast what-if runs and analysis on ABMs before building custom software or publishing results.
How do I add NetLogo MCP to my agent?
Install netlogo-mcp from PyPI, register the stdio server in your MCP client, and set required NETLOGO_HOME and JAVA_HOME plus optional NETLOGO_GUI.