# text2sim-MCP-server

> text2sim-MCP-server — iamcatobot-text2sim-mcp-server. Use this tool when you need to transform natural language into working simulation models, solving problems of manual modeling and integration with large language models (LLMs). It takes plain English descriptions as input and outputs Discrete-Event Simulation (DES) and System Dynamics (SD) models, usable in environments like Claude. Ideal for use cases where automated simulation modeling is required, such as rapid prototyping and testing of complex systems.

Canonical page: https://skillsregistry.net/skills/iamcatobot-text2sim-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/iamcatobot-text2sim-mcp-server

## Description

Text2Sim MCP Server is a conversational simulation engine that transforms natural language into working simulation models. Supporting Discrete-Event Simulation (DES) and System Dynamics (SD), it integrates with LLMs via the Model Context Protocol (MCP) to transform plain English descriptions into simulation models within environments like Claude.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/IamCatoBot/text2sim-MCP-server)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "iamcatobot-text2sim-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/iamcatobot-text2sim-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/iamcatobot-text2sim-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt