anylogic

This MCP server provides an integration layer between AnyLogic Cloud simulations and AI assistants. It connects to the AnyLogic Cloud API, lets you run simulations with custom parameters, and retrieve and analyze results. The server includes built-in demo models to test end-to-end workflows, and persistent storage for simulation data. To use it, install and run the server with UV, then interact with the server's endpoints and capabilities to submit simulation jobs, fetch results, and export outputs in multiple formats. The integration is designed to let AI assistants orchestrate complex simulations by composing parameterized requests and then interpreting the resulting data.

Prerequisites:

• Python 3.10+
• UV (the Universal Version Manager) installed
• Internet access to install the AnyLogic Cloud client wheel

Install steps:

1. Install UV (if not already installed):

   curl -LsSf https://astral.sh/uv/install.sh | sh
   

2. Synchronize dependencies with UV:

   uv sync
   

3. Install the AnyLogic Cloud client (Python wheel):

   uv add https://cloud.anylogic.com/files/api-8.5.0/clients/anylogiccloudclient-8.5.0-py3-none-any.whl
   

4. Run the MCP server:

   uv run python fastmcp_anylogic_server_v2.py
   

Notes and tips:

• Ensure you have valid AnyLogic Cloud API access; a demo key may be available for testing.
• The server expects Python 3.10+ and relies on the AnyLogic Cloud client for API interactions.
• If you encounter authentication or connectivity issues, verify network access to AnyLogic Cloud endpoints and that the API client wheel is correctly installed.
• The MCP server can be extended with additional demo models; check CLAUDE.md for development guidance and integration patterns.
• For production deployments, consider configuring environment variables for API keys, endpoints, and storage paths as needed by your deployment environment.