用于大型语言模型集成的多范式仿真引擎

一台模型上下文协议服务器，通过对话接口提供多范式仿真能力。该服务器支持通过SimPy实现离散事件仿真，并通过PySD和兼容PySD的JSON模式进行系统动力学建模。

概述

Text2Sim MCP 服务器使大型语言模型能够通过自然语言接口创建、验证和执行仿真模型。服务器处理 JSON 结构化的仿真配置，并返回带有全面分析的执行结果。

支持的仿真范式

• 离散事件仿真（DES）：使用SimPy引擎进行过程导向建模
• 系统动力学（SD）：使用PySD及其兼容JSON模式进行库存与流建模

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关于

Text2Sim MCP 服务器是由 Cato Bot Company Limited 开发的一个开源项目。我们相信透明、商业支持的开源开发，既惠及用户，也支持项目的可持续增长。社区贡献通过标准拉取请求程序接受。

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安装

先决条件

Text2Sim MCP Server

Multi-paradigm Simulation Engine for LLM Integration

A Model Context Protocol server providing multi-paradigm simulation capabilities through conversational interfaces. The server supports Discrete-Event Simulation via SimPy and System Dynamics modeling via PySD and a PySD-compatible JSON schema.

Overview

Text2Sim MCP Server enables Large Language Models to create, validate, and execute simulation models through natural language interfaces. The server processes JSON-structured simulation configurations and returns execution results with comprehensive analytics.

Supported Simulation Paradigms

• Discrete-Event Simulation (DES): Process-oriented modeling using SimPy engine
• System Dynamics (SD): Stock-and-flow modeling using PySD and PySD-compatible JSON schema

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About

The Text2Sim MCP Server is an open source project developed by The Cato Bot Company Limited. We believe in transparent, commercially-backed open source development that benefits both users and contributors while supporting sustainable project growth. Community contributions are accepted through standard pull request procedures.

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Installation

Prerequisites

• Python 3.12 or higher
• uv package manager

Install uv

On macOS and Linux:

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

On Windows (PowerShell):

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Learn more: astral-sh/uv

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Quick Start

Clone the repository

git clone https://github.com/IamCatoBot/text2sim-MCP-server.git
cd text2sim-MCP-server

Install dependencies

uv sync

Integration with Claude Desktop

1. Open:

Claude > Settings > Developer > Edit Config > claude_desktop_config.json

2. Add the following block:

{
  "mcpServers": {
    "Text2Sim MCP Server": {
      "command": "uv",
      "args": [
        "--directory",
        "PATH_TO_TEXT2SIM_MCP_SERVER",
        "run",
        "python",
        "-m",
        "mcp_server"
      ],
      "env": {}
    }
  }
}

Note: Replace PATH_TO_TEXT2SIM_MCP_SERVER with the actual path to your cloned repository. If the uv command is not found, run which uv (Unix) or Get-Command uv (PowerShell) and use the full path in the "command" field.

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Features

LLM Integration

• Natural language to simulation model conversion
• Multi-round conversation support for iterative model development
• JSON Schema 2020-12 validation for configuration reliability
• Contextual error messages with corrective guidance
• Model persistence across conversation sessions