stella-mcp
MCP server for creating and manipulating Stella system dynamics models (.stmx files in XMILE format)
Stella MCP Server
A Model Context Protocol (MCP) server for creating and manipulating Stella system dynamics models. This enables AI assistants like Claude to programmatically build, read, validate, and save .stmx files in the XMILE format.
What is this for?
Stella is a system dynamics modeling tool used for simulating complex systems in fields like ecology, biogeochemistry, economics, and engineering. This MCP server allows AI assistants to:
- Create models from scratch - Build stock-and-flow diagrams programmatically
- Read existing models - Parse and understand .stmx files
- Validate models - Check for errors like undefined variables or missing connections
- Modify models - Add stocks, flows, auxiliaries, and connectors
- Save models - Export valid XMILE files that open in Stella Professional
This is particularly useful for:
- Teaching system dynamics modeling
- Rapid prototyping of models through natural language
- Batch creation or modification of models
- Documenting and explaining existing models
Installation
From PyPI
pip install stella-mcp
From source
git clone https://github.com/bradleylab/stella-mcp.git
cd stella-mcp
pip install -e .
Requirements
- Python 3.10+
mcp>=1.0.0
Configuration
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"stella": {
"command": "stella-mcp"
}
}
}
Claude Code
Add to your .claude/settings.json:
{
"mcpServers": {
"stella": {
"command": "stella-mcp"
}
}
}
Development mode
If running from source:
{
"mcpServers": {
"stella": {
"command": "python",
"args": ["-m", "stella_mcp.server"],
"cwd": "/path/to/stella-mcp"
}
}
}
Available Tools
Model Creation & I/O
| Tool | Description |
|---|---|
create_model | Create a new model with name and time settings (start, stop, dt, method) |
read_model | Load an existing .stmx file |
save_model | Save model to a .stmx file |
Model Building
| Tool | Description |
|---|---|
add_stock | Add a stock (reservoir) with initial value and units |
add_flow | Add a flow between stocks with an equation |
add_aux | Add an auxiliary variable (parameter or calculation) |
add_connector | Add a dependency connector between variables |
Model Inspection
| Tool | Description |
|---|---|
list_variables | List all stocks, flows, and auxiliaries |
validate_model | Check for errors (undefined variables, missing connections, etc.) |
get_model_xml | Preview the XMILE XML output |
Example Usage
Creating a simple population model
User: Create a simple exponential growth model with a population starting at 100
and a growth rate of 0.1 per year
Claude: [Uses create_model, add_stock, add_aux, add_flow, add_connector, save_model]
Creates population_growth.stmx with:
- Stock: Population (initial=100)
- Aux: growth_rate (0.1)
- Flow: growth (Population * growth_rate) into Population
Reading and analyzing an existing model
User: Read the carbon cycle model and explain what it does
Claude: [Uses read_model, list_variables]
This model has 3 stocks (Atmosphere, Land Biota, Soil) and 6 flows
representing carbon exchange through photosynthesis, respiration...
Building a biogeochemical model
User: Create a two-box ocean model with surface and deep nutrients
Claude: [Uses create_model, add_stock (x4), add_aux (x8), add_flow (x6), save_model]
Creates a model with nutrient cycling between surface and deep ocean
including upwelling, downwelling, biological uptake, and remineralization
Validation
The validate_model tool checks for:
- Undefined variables - References to variables that don't exist
- Mass balance issues - Stocks without flows, flows referencing non-existent stocks
- Missing connections - Equations using variables without connectors (warning)
- Orphan flows - Flows not connected to any stock
- Circular dependencies - Infinite loops in auxiliary calculations
XMILE Compatibility
- Output files use the XMILE standard
- Compatible with Stella Professional 1.9+ and Stella Architect
- Auto-layout positions elements reasonably; adjust manually in Stella if needed
- Variable names with spaces are converted to underscores internally
Project Structure
stella-mcp/
├── README.md
├── LICENSE
├── pyproject.toml
└── stella_mcp/
├── __init__.py
├── server.py # MCP server implementation
├── xmile.py # XMILE XML generation and parsing
└── validator.py # Model validation logic
Contributing
Contributions are welcome! Please feel free to submit issues or pull requests.
License
MIT License - see LICENSE for details.
Acknowledgments
- Model Context Protocol by Anthropic
- ISEE Systems for Stella and the XMILE format
Related Servers
Uniswap Trader MCP
Automate token swaps on the Uniswap DEX across multiple blockchains.
Weather
Provides weather alerts and forecasts using the National Weather Service API.
Withings
MCP server for Withings health data integration
Pollinations
Multimodal MCP server for generating images, audio, and text with no authentication required
Stock Market Tracker
MCP server for advanced financial analysis, stock monitoring, and real-time market intelligence to support buy/sell decisions
Wordle MCP - Go
Fetches daily Wordle solutions using the official Wordle API.
CS2 RCON MCP
A server for managing Counter-Strike 2 servers using the RCON protocol.
MCP-Ambari-API
Automate Apache Ambari operations with AI/LLM: Natural language commands for Hadoop cluster management, service control, configuration monitoring, and real-time status tracking via Model Context Protocol (MCP) tools.
Asset Price MCP Server
Provides real-time prices for assets like precious metals and cryptocurrencies.
MCP-HA-Connect
A production-ready Model Context Protocol (MCP) server for Home Assistant integration with AI assistants like Claude.