Text2sim MCP Server

What is Text2Sim MCP Server? Text2Sim MCP Server is a discrete-event simulation engine that generates and executes flexible SimPy-based models from natural language descriptions, integrating with Large Language Models (LLMs) using the Model Context Protocol (MCP). How to use Text2Sim MCP Server? To use the Text2Sim MCP Server, clone the repository from GitHub, install the required dependencies, and configure it with your LLM environment. You can then input natural language descriptions to create simulation models. Key features of Text2Sim MCP Server? Integration with LLMs for model creation using plain English. Support for multiple domains including airport operations, healthcare, and manufacturing. Configurable entities with custom attributes and behaviors. Stochastic process logic with various probability distributions. Real-time metrics collection for performance analysis. Secure implementation with regex-based parsing. Use cases of Text2Sim MCP Server? Simulating passenger processing in airports. Modeling patient flow in healthcare settings. Analyzing manufacturing processes and workflows. FAQ from Text2Sim MCP Server? Can I use Text2Sim for any domain? Yes, it supports multiple domains like airport, healthcare, and manufacturing. Is there a specific Python version required? Yes, Python 3.12 or higher is required. How does it ensure security? It uses regex-based parsing to prevent arbitrary code execution and validates inputs.

As an MCP (Model Context Protocol) server, Text2sim MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the Text2Sim MCP Server, clone the repository from GitHub, install the required dependencies, and configure it with your LLM environment. You can then input natural language descriptions to create simulation models. Key features of Text2Sim MCP Server? Integration with LLMs for model creation using plain English. Support for multiple domains including airport operations, healthcare, and manufacturing. Configurable entities with custom attributes and behaviors. Stochastic process logic with various probability distributions. Real-time metrics collection for performance analysis. Secure implementation with regex-based parsing. Use cases of Text2Sim MCP Server? Simulating passenger processing in airports. Modeling patient flow in healthcare settings. Analyzing manufacturing processes and workflows. FAQ from Text2Sim MCP Server? Can I use Text2Sim for any domain? Yes, it supports multiple domains like airport, healthcare, and manufacturing. Is there a specific Python version required? Yes, Python 3.12 or higher is required. How does it ensure security? It uses regex-based parsing to prevent arbitrary code execution and validates inputs.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.