MATLAB MCP Server

MATLAB MCP Server

A powerful MCP server that integrates MATLAB with AI, allowing you to execute MATLAB code, generate MATLAB scripts from natural language descriptions, and access MATLAB documentation directly through your AI assistant.

Features

Resources

• Access MATLAB documentation via matlab://documentation/getting-started URI
• Get started guide with examples and usage instructions

Tools

• execute_matlab_code - Execute MATLAB code and get results

  • Run any MATLAB commands or scripts
  • Option to save scripts for future reference
  • View output directly in your conversation

• generate_matlab_code - Generate MATLAB code from natural language

  • Describe what you want to accomplish in plain language
  • Get executable MATLAB code in response
  • Option to save generated scripts

Development

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

Requirements

• MATLAB installed on your system
• Node.js (v14 or higher)

Installation

1. Install the package

npm install -g matlab-mcp-server

Or clone the repository and build it yourself:

git clone https://github.com/username/matlab-mcp-server.git
cd matlab-mcp-server
npm install
npm run build

2. Configure cline to use the server

To use with cline , add the server config:

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "matlab-server": {
      "command": "node",
      "args": ["/path/to/matlab-server/build/index.js"],
      "env": {
        "MATLAB_PATH": "/path/to/matlab/executable"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

Replace /path/to/matlab/executable with the path to your MATLAB executable:

• Windows: Usually C:\\Program Files\\MATLAB\\R2023b\\bin\\matlab.exe
• macOS: Usually /Applications/MATLAB_R2023b.app/bin/matlab
• Linux: Usually /usr/local/MATLAB/R2023b/bin/matlab

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:

npm run inspector

The Inspector will provide a URL to access debugging tools in your browser.