# simulink-mcp

> Use this tool when you need to integrate Simulink models into AI workflows, enabling model lifecycle management and diagnostics. It provides structured access to Simulink models via the MATLAB Engine for Python, allowing for parameter queries and more. Ideal for use cases requiring simulation-based analysis and model optimization, with inputs including model files and parameters, and outputs including simulation results and diagnostic data.

Canonical page: https://skillsregistry.net/skills/wya5217799-simulink-mcp  
JSON: https://api.skillsregistry.net/v1/skills/wya5217799-simulink-mcp

## Description

Give AI agents structured access to Simulink models via the MATLAB Engine for Python, enabling model lifecycle management, parameter queries, diagnostics, and more.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i9f81lptov)
- **Repository:** <https://github.com/wya5217799/simulink-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": "wya5217799-simulink-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wya5217799-simulink-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wya5217799-simulink-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