• For Apple silicon processors, run:

  curl -L -o ~/Downloads/matlab-mcp-core-server https://github.com/matlab/matlab-mcp-core-server/releases/latest/download/matlab-mcp-core-server-maca64
  

• For Intel processors, run:

  curl -L -o ~/Downloads/matlab-mcp-core-server https://github.com/matlab/matlab-mcp-core-server/releases/latest/download/matlab-mcp-core-server-maci64
  

Then grant executable permissions to the downloaded binary so you can run the MATLAB MCP Core Server:

chmod +x ~/Downloads/matlab-mcp-core-server

Claude Code

In your terminal, run the following, remembering to insert the full path to the server binary you acquired in the setup:

claude mcp add --transport stdio matlab -- /fullpath/to/matlab-mcp-core-server-binary

You can customize the server by specifying optional Arguments. Note the -- separator between Claude Code's options and the server arguments:

claude mcp add --transport stdio matlab -- /fullpath/to/matlab-mcp-core-server-binary --initial-working-folder=/home/username/myproject

For details on adding MCP servers in Claude Code, see Add a local stdio server (Claude Code). To remove the server later, run:

claude mcp remove matlab

Claude Desktop

You install the MATLAB MCP Core Server in Claude Desktop using the MATLAB MCP Core Server bundle.

1. Install the Filesystem extension in Claude Desktop to allow Claude to read and write files on your system. In Claude Desktop, click Settings > Extensions > Browse extensions. Search for the Filesystem extension developed by Anthropic and click Install. Specify the folders you want to allow the MCP server to access, then toggle the Disabled button to Enable the Filesystem extension.

2. Download the MATLAB MCP Core Server bundle matlab-mcp-core-server.mcpb from the Latest Release page.

3. To install the MATLAB MCP Core Server bundle as a desktop extension, double click the downloaded matlab-mcp-core-server.mcpb file and click Install in Claude Desktop. (Alternatively, navigate in Claude to File menu > Settings > Extensions > Advanced Settings > Install Extension and select the matlab-mcp-core-server.mcpb file. Click Install).

   To customize the behaviour of the MATLAB MCP Core Server, navigate to Settings > Extensions > Configure, where you can modify the server's Arguments.

GitHub Copilot in Visual Studio Code

In your VS Code workspace, create a file named .vscode/mcp.json. Insert the following JSON, remembering to specify the full path to the server binary you acquired in the setup, as well as any Arguments. Then save the file. (Note that on Windows, your paths require extra slashes as escape characters).

{
    "servers": {
        "matlab": {
            "type": "stdio",
            "command": "C:\\fullpath\\to\\matlab-mcp-core-server-win64.exe",
            "args": []
        }
    }
}

For more information about using MCP servers in VS Code, see Add and Manage MCP servers in VS Code (VS Code).

Arguments

Customize the behavior of the server by providing arguments in the args array when configuring your AI application.

| Argument | Description | Example | | ------------- | ------------- | ------------- | | matlab-root | Full path specifying which MATLAB to start. Do not include /bin in the path. By default, the server tries to find the first MATLAB on the system PATH. | "--matlab-root=/home/usr/MATLAB/R2025a" | | initialize-matlab-on-startup | To initialize MATLAB as soon as you start the server, set this argument to true. By default, MATLAB only starts when the first tool is called. | "--initialize-matlab-on-startup=true" | | initial-working-folder | Specify the folder where MATLAB starts. If you do not specify a value, MATLAB starts at the path of your AI application's first Root (MCP). If you have not defined a root, MATLAB starts in these locations: Linux: /home/username Windows: C:\Users\username\DocumentsMac: /Users/username/Documents | "--initial-working-folder=C:\\Users\\name\\MyProject" | | matlab-display-mode | Specify whether to show the MATLAB desktop. Use desktop mode (default) to show the MATLAB desktop. Use nodesktop mode to use MATLAB only from your AI application, without the MATLAB desktop. Note that in nodesktop mode, commands requiring a graphical interface (such as edit, open, open_system, uifigure, and appdesigner) will still open MATLAB windows on your desktop.| "--matlab-display-mode=nodesktop" | | disable-telemetry | To disable anonymized data collection, set this argument to true. For details, see Data Collection. | "--disable-telemetry=true" |

Tools

1. detect_matlab_toolboxes

   • Returns information about installed MATLAB and toolboxes, including version numbers.

2. check_matlab_code

   • Performs static code analysis on a MATLAB script. Returns warnings about coding style, potential errors, deprecated functions, performance issues, and best practice violations. This is a non-destructive, read-only operation that helps identify code quality issues without executing the script.
   • Inputs:
     • script_path (string): Absolute path to the MATLAB script file to analyze. Must be a valid .m file. The file is not modified during analysis. Example: C:\Users\username\matlab\myFunction.m or /home/user/scripts/analysis.m.

3. evaluate_matlab_code

   • Evaluates a string of MATLAB code and returns the output.
   • Inputs:
     • code (string): MATLAB code to evaluate.
     • project_path (string): Absolute path to your project directory. MATLAB sets this directory as the current working folder. Example: C:\Users\username\matlab-project or /home/user/research.

4. run_matlab_file

   • Executes a MATLAB script and returns the output. The script must be a valid .m file.
   • Inputs:
     • script_path (string): Absolute path to the MATLAB script file to execute. Must be a valid .m file. Example: C:\Users\username\projects\analysis.m or /home/user/matlab/simulation.m.

5. run_matlab_test_file

   • Executes a MATLAB test script and returns comprehensive test results. Designed specifically for MATLAB unit test files that follow MATLAB testing framework conventions.
   • Inputs:
     • script_path (string): Absolute path to the MATLAB test script file. Must be a valid .m file containing MATLAB unit tests. Example: C:\Users\username\tests\testMyFunction.m or /home/user/matlab/tests/test_analysis.m.

Resources

The MCP server provides Resources (MCP) to help your AI application write MATLAB code. To see instructions for using this resource, refer to the documentation of your AI application that explains how to use resources.

1. matlab_coding_guidelines

   • Provides comprehensive MATLAB coding standards for improving code readability, maintainability, and collaboration. The guidelines encompass naming conventions, formatting, commenting, performance optimization, and error handling.
   • URI: guidelines://coding
   • MIME Type: text/markdown
   • Source: MATLAB Coding Standards (GitHub)

2. plain_text_live_code_guidelines

   • Provides rules and guidelines for generating live scripts using the plain text Live Code .m file format, suitable for version control and AI-assisted development. Note that to run plain text live scripts you need MATLAB R2025a or newer. For details, see [Live Code File Format (MathWorks)](https://www.mathworks.com