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MATLAB MCP Integration

@jigarbhoye04

代码仓库

基本信息

分类

开发工具

许可证

MIT

传输方式

stdio

作者

jigarbhoye04

关于 MATLAB MCP Integration

MCP server to run MATLAB code from LLM via the Matlab Engine API.

#mcp#matlab#claude#llm#mcp-server

MATLAB MCP Integration 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "MatlabMCP": {
      "command": "uv",
      "args": [
        "init"
      ]
    }
  }
}

MATLAB MCP Integration 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MATLAB MCP Integration?

This is an MCP (Model Context Protocol) server that enables MCP clients—such as LLM agents or Claude Desktop—to interact directly with a shared MATLAB session. It uses the MATLAB Engine API for Python to execute MATLAB code, retrieve workspace variables, and return structured JSON results.

How to use MATLAB MCP Integration?

Install the server by cloning the repository, setting up a Python virtual environment (recommended with uv), and installing dependencies. Then start MATLAB and run matlab.engine.shareEngine to make the engine available. Finally, configure the MCP client (e.g., Claude Desktop) by editing its claude_desktop_config.json to point to the uv runner and the server’s main.py script. Tools exposed are runMatlabCode (execute arbitrary MATLAB code) and getVariable (retrieve workspace variables).

Key features of MATLAB MCP Integration

  • Execute arbitrary MATLAB code via the runMatlabCode tool.
  • Retrieve workspace variables with the getVariable tool.
  • Returns results and errors as structured JSON.
  • Non‑blocking execution using asyncio.to_thread.
  • Standard logging to stderr for client visibility.
  • Connects to an existing shared MATLAB session.

Use cases of MATLAB MCP Integration

  • Interactive data analysis and visualization from a chat interface.
  • Automated generation of MATLAB scripts and figures via an LLM.
  • Coupling MATLAB’s numerical computation with AI‑driven workflows.
  • Rapid prototyping without leaving the MCP client environment.

常见问题

1

What are the requirements to run MATLAB MCP Integration?

Python 3.12 or higher, MATLAB (**R2023a or higher recommended**) with the MATLAB Engine API for Python installed, and the `numpy` Python package.

2

How do I share the MATLAB engine so the server can connect?

In the MATLAB Command Window, run `matlab.engine.shareEngine`. Verify with `matlab.engine.isEngineShared`, which should return `true` or `1`.

3

How do I configure MATLAB MCP Integration with Claude Desktop?

Edit `claude_desktop_config.json` and add an entry under `mcpServers` with the command set to your `uv` executable, `args` containing `["--directory", "<absolute-path-to-repo>", "run", "main.py"]`. Use absolute paths and restart Claude Desktop.

4

What tools does the server provide?

Two tools: `runMatlabCode` to execute any MATLAB code, and `getVariable` to fetch the value of a variable from the MATLAB workspace. Both return structured JSON.

5

Where can I find more detailed documentation?

The repository contains an `Updates.md` file in the `Docs/` folder with detailed documentation on features, usage, and development notes. A DeepWiki page is also linked in the README.

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