# dymola-mcp-server

> Use this tool when you need to integrate Modelica models with AI agents for simulation and analysis, solving problems such as model translation and simulation execution. It takes Modelica models as input and outputs simulation results, enabling seamless interaction between AI agents and Dymola via the Model Context Protocol. Ideal for use cases requiring automated model simulation, analysis, and optimization in fields like engineering and research.

Canonical page: https://skillsregistry.net/skills/simonluke-dymola-mcp  
JSON: https://api.skillsregistry.net/v1/skills/simonluke-dymola-mcp

## Description

Enables AI agents to load, translate, simulate, and analyze Modelica models in Dymola via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rzr7zh03kz)
- **Repository:** <https://github.com/simonluke/dymola-mcp>

## 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": "simonluke-dymola-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/simonluke-dymola-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/simonluke-dymola-mcp/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