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MATLAB MCP Server

MATLAB MCP Server

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github.com/WilliamCloudQiScience & Education54Updated 75w ago

About MATLAB MCP Server

MATLAB MCP Server integrates MATLAB with AI assistants, letting users run MATLAB code, generate scripts from plain-language descriptions, and read MATLAB documentation. It is aimed at users doing scientific computing and data analysis.

Key features

  1. 01Execute MATLAB code and return results
  2. 02Generate MATLAB code from natural language
  3. 03Save executed or generated scripts
  4. 04Provide a MATLAB getting-started documentation resource

Use cases

  1. 01Running MATLAB scripts for data analysis in a conversation
  2. 02Generating MATLAB code from a text description
  3. 03Reading the MATLAB getting-started guide

MCP support

The project runs as an MCP server, offering code execution and code generation tools and exposing MATLAB documentation as a resource.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"matlab": {
"command": "npx",
"args": [
"-y",
"@smithery/cli"
]
}
}
}
Run commandnpx -y @smithery/cli

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@smithery/cli

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MATLAB MCP Server

GitHub Logo

We welcome contributions from everyone.

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.

MATLAB Server MCP server

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

Installing via Smithery

To install MATLAB MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @WilliamCloudQi/matlab-mcp-server --client claude
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.

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Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.