MATLAB MCP Server: AI-Driven Scripting & Analysis

MATLAB MCP Server lets you run code in chats, generate scripts from text, and access docs—all to boost AI-driven scientific computing & data analysis.

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About MATLAB MCP Server

What is MATLAB MCP Server: AI-Driven Scripting & Analysis?

MATLAB MCP Server bridges the gap between AI assistants and MATLAB by enabling code execution, script generation from natural language, and direct access to documentation. This server acts as an intermediary, allowing users to leverage AI capabilities to streamline workflow and automate tasks within the MATLAB environment.

How to use MATLAB MCP Server: AI-Driven Scripting & Analysis?

Installation involves setting up dependencies and configuring the server in your AI tool (e.g., Claude). Key steps include: installing Node.js and MATLAB, running build commands, and specifying MATLAB's executable path in the configuration file. Users interact with the server via predefined commands like execute_matlab_code or generate_matlab_code, accessible through their AI interface.

MATLAB MCP Server Features

Key Features of MATLAB MCP Server: AI-Driven Scripting & Analysis?

Code Execution: Run MATLAB scripts and view outputs directly in conversations.
Natural Language Scripting: Convert plain-text requirements into executable MATLAB code.
Documentation Access: Retrieve official MATLAB guides using specially formatted URIs.
Script Management: Save generated or executed code for future reference.

Use cases of MATLAB MCP Server: AI-Driven Scripting & Analysis?

MATLAB MCP Server FAQ

FAQ from MATLAB MCP Server: AI-Driven Scripting & Analysis?

Q: What MATLAB versions are supported?
Any version with a compatible executable path.
Q: How do I debug errors?
Use the MCP Inspector tool by running npm run inspector.
Q: Can I customize script generation?
Yes, refine prompts to control code output specifics.
Q: Is cloud deployment possible?
Yes, provided MATLAB licensing allows remote execution.

Content

MATLAB MCP Server

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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.