MatlabMCP

The MatlabMCP server enables you to execute MATLAB code directly from large language models (LLMs) using the MATLAB Engine API. By integrating MATLAB's computational capabilities with LLMs, you can leverage advanced mathematical and data processing functions seamlessly, making it an ideal choice for developers looking to enhance their AI applications with robust numerical analysis and modeling features.

Once you have connected to the MatlabMCP server, you can send MATLAB commands as queries through the established connection. The server is designed to handle a variety of computational requests, from basic arithmetic to complex matrix operations. For best results, formulate your commands to be specific and concise, ensuring that the inputs align with MATLAB's syntax and data types.

Prerequisites

Before installing MatlabMCP, ensure you have the following prerequisites:

• MATLAB installed on your machine
• Node.js installed (version 14.x or higher recommended)
• Python installed (for any additional scripts)

Option A: Quick start with npx

You can quickly start using MatlabMCP with npx. Run the following command in your terminal:

npx -y jigarbhoye04/MatlabMCP

Option B: Global install alternative

If you prefer to install it globally, you can clone the repository and run it directly:

git clone https://github.com/jigarbhoye04/MatlabMCP.git
cd MatlabMCP
npm install
node server.js

When configuring the MatlabMCP server, ensure that your MATLAB installation is correctly set up and that the MATLAB Engine API is accessible from your Node.js environment. You may need to set environment variables for MATLAB's path in your terminal before running the server. Common issues include path misconfigurations, so double-check that the MATLAB executable is within your system’s PATH.