Stella MCP server

This is a helper that lets your AI assistant work with Stella, a tool people use to model how complex systems change over time, like populations, diseases, or ecosystems. Instead of clicking around a modeling program, you describe the model you want in plain words and the AI builds the file for you. It is handy for teachers, students, and researchers who want to sketch out a model quickly.

What this MCP server does

You tell your AI what kind of model you want, for example a simple disease spread model with people who are healthy, sick, and recovered. The AI uses this helper to build that model step by step: it adds the stocks (the pools that hold things), the flows (the rates that move things between pools), and the numbers that control them. The helper checks the model for mistakes like missing connections or undefined variables. When it looks good, it saves the model as a .stmx file that opens in Stella Professional.

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What you can do with it

• Build a new Stella model from a plain-language description
• Read and explain an existing .stmx file
• Check a model for errors like undefined variables or missing links
• Add stocks, flows, and helper variables to a model
• Rename or delete variables and fix the references automatically
• Save the finished model as a .stmx file you can open in Stella
• Render the model as a diagram picture

Try asking your AI

• “Build me a simple SIR disease model with 10000 people, a contact rate of 6, and a recovery time of 2 days.”
• “Read the file population.stmx and tell me what it does.”
• “Check this model for errors and list anything that looks wrong.”
• “Add a stock called Water and a flow from Rainfall into it.”

What it gives back to you

You get back clear answers in the chat, like a summary of the model, a list of its stocks and flows, or a list of problems found during checking. When you ask it to save, it writes a .stmx file to your computer. You can also ask it to show the model as a picture (an SVG diagram) so you can see the stock-and-flow layout.

Before you start

Who it's for

Teachers, students, and researchers who work with system dynamics models in fields like ecology, epidemiology, economics, or engineering.