sohumsuthar/simulink-mcp

让AI助手直接访问MATLAB Simulink。

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14个结构化MCP工具，用于加载模型、检查块、调整参数、运行仿真以及以图像形式捕获图形。每个操作都是带有验证输入的类型化工具调用——无任意代码执行。

为什么选择这部通用的MATLAB MCP服务器？

通用的MATLAB服务器会将任意代码字符串传递给eval()。这在AI产生函数名幻觉、忘记分号或写入永久阻塞的plot()调用之前是正常的。该服务器将Simulink操作作为离散且经过验证的工具——AI选择正确的工具，填写输入参数，而不是生成自由文本的MATLAB代码。

安装

1.Python 版 MATLAB 引擎

MATLAB 引擎随所有 MATLAB 安装一同附带：

通常为：

• macOS： /Applications/MATLAB_R2024b.app
• Linux： /usr/local/MATLAB/R2024b
• Windows： C:\Program Files\MATLAB\R2024b

2.Simulink-MCP

或者引用来源：

3.验证

配置

克劳德·科德

克劳德桌面

在你的claude_desktop_config.json中添加：

然后让Claude加载模型，它会接手。

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14 structured MCP tools for loading models, inspecting blocks, tweaking parameters, running simulations, and capturing figures as images. Every operation is a typed tool call with validated inputs — no arbitrary code execution.

Why this over a general MATLAB MCP server?

General-purpose MATLAB servers pass arbitrary code strings to eval(). That works until the AI hallucinates a function name, forgets a semicolon, or writes a plot() call that blocks forever. This server exposes Simulink operations as discrete, validated tools — the AI picks the right tool and fills in typed parameters instead of generating free-text MATLAB code.

Install

1. MATLAB Engine for Python

The MATLAB Engine ships with every MATLAB installation:

cd /extern/engines/python
pip install .

`` is typically:

• macOS: /Applications/MATLAB_R2024b.app
• Linux: /usr/local/MATLAB/R2024b
• Windows: C:\Program Files\MATLAB\R2024b

2. simulink-mcp

pip install simulink-mcp

Or from source:

git clone https://github.com/sohumsuthar/simulink-mcp.git
cd simulink-mcp
pip install .

3. Verify

python -c "import matlab.engine; print('OK')"

Configuration

Claude Code

claude mcp add simulink -- python -m simulink_mcp

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "simulink": {
      "command": "python",
      "args": ["-m", "simulink_mcp"],
      "env": {
        "SIMULINK_MCP_WORKDIR": "/path/to/your/models"
      }
    }
  }
}

Then ask Claude to load a model and it’ll take it from there.

Environment Variables

Tools