MATLAB MCP Server

MATLAB MCP Server

Allows execution of MATLAB code from Python using the MATLAB Engine API, enabling a shared MATLAB session across multiple requests for seamless integration with Claude Desktop.

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README

MATLAB MCP Integration

This is simple implementation of Matlab MCP server. It allows you to run MATLAB code from Python using the MATLAB Engine API. The server listens for incoming requests and executes the provided MATLAB code in a shared MATLAB session.

Features

  • Execute MATLAB code from Python
  • Share a single MATLAB session across multiple requests

TODO:

  • Add support for Complex Simulink models
  • Add support for Simulink models with multiple inputs and outputs
  • Feed whole code files to MATLAB

Requirements

  • Python 3.12 or higher
  • MATLAB (2025a or higher) with the MATLAB Engine API for Python installed

Installation

  1. Clone this repository:

    git clone https://github.com/jigarbhoye04/MatlabMCP.git
    cd MatlabMCP
    
  2. Set up a Python virtual environment (optional but recommended):

    uv init
    uv venv
    .venv/bin/activate  # On Windows: .venv\Scripts\activate
    
  3. Ensure MATLAB is installed and the MATLAB Engine API for Python is configured. Run the following in MATLAB to share the engine:

    matlab.engine.shareEngine
    

    check if the engine is running:

    matlab.engine.isEngineShared
    

    If it returns false, you need to start the engine manually. You can do this by running the previous command in the MATLAB command window.

Configuration

To use it with Claude Desktop as intended you need to adjust your claude_desktop_config.json file. Go to Claude Desktop -> Settings -> Developer -> Edit Config. Now add the MatlabMCP server configuration.

{
  "mcpServers": {
    "MatlabMCP": {
      "command": "C:\\Users\\username\\.local\\bin\\uv.exe",
      "args": [
        "--directory",
        "C:\\Users\\username\\MatlabMCP\\",
        "run",
        "main.py"
      ]
    }
  }
}

Make sure to adjust the paths to your local installation. The command should point to the uv executable and the args should point to the directory of this repository and the main.py file.

Development

Project Structure:

MatlabMCP
├── .venv
├── .python-version
├── main.py
├── pyproject.toml
├── README.md
└── uv.lock

Screenshots

MatlabMCP_SS1 MatlabMCP running in the background


MatlabMCP_SS2

MatlabMCP_SS3 MatlabMCP output in matlab window

Contributing

Contributions are welcome! If you have any suggestions or improvements, feel free to open an issue or submit a pull request.

Let's make this even better together!

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