Kappybara

About

The Kappybara server provides a powerful interface, built on the Model Context Protocol (MCP), enabling Large Language Models (LLMs) to perform complex Kappa simulations. By leveraging the Kappybara Python package, this server allows LLMs to directly execute rule-based models of molecular interaction systems. It exposes a `run_kappa_simulation` tool, facilitating dynamic execution of Kappa code with customizable parameters and returning detailed simulation results, including CSV output for in-depth analysis. This empowers LLMs to explore and understand dynamic system behaviors, fostering scientific inquiry and complex system modeling directly from natural language prompts.

Key Features

• 0 GitHub stars
• Pure Python implementation leveraging the Kappybara library
• Exposes Kappa simulation capabilities via Model Context Protocol
• Execute Kappa models with customizable parameters
• Generate simulation results as CSV data
• Includes built-in example Kappa models for quick reference

Use Cases

• Integrating Kappa simulations into Large Language Model applications
• Programmatically testing and exploring Kappa reaction-network models
• Analyzing dynamic system behaviors from molecular interaction simulations