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MCP verified MIT Self-run

MatlabMCP

mcp-jigarbhoye04-matlabmcp · by jigarbhoye04

MCP server to run MATLAB code from LLM via the Matlab Engine API.

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Install

$ agentstack add mcp-jigarbhoye04-matlabmcp

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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Declared compatibility

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Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

MATLAB MCP Integration

This is an implementation of a Model Context Protocol (MCP) server for MATLAB. It allows MCP clients (like LLM agents or Claude Desktop) to interact with a shared MATLAB session using the MATLAB Engine API for Python.

Features

  • Execute MATLAB Code: Run arbitrary MATLAB code snippets via the runMatlabCode tool.
  • Retrieve Variables: Get the value of variables from the MATLAB workspace using the getVariable tool.
  • Structured Communication: Tools return results and errors as structured JSON for easier programmatic use by clients.
  • Non-Blocking Execution: MATLAB engine calls are run asynchronously using asyncio.to_thread to prevent blocking the server.
  • Standard Logging: Uses Python's standard logging module, outputting to stderr for visibility in client logs.
  • Shared Session: Connects to an existing shared MATLAB session.

> [!TIP] > MatlabMCP wikipedia by DEVIN. Checkout DeepWiki for more detailed and illustrative information about architecture.

Requirements

  • Python 3.12 or higher
  • MATLAB (R2023a or higher recommended - check MATLAB Engine API for Python compatibility) with the MATLAB Engine API for Python installed.
  • numpy Python package.

Installation

  1. Clone this repository:

``bash git clone https://github.com/jigarbhoye04/MatlabMCP.git cd MatlabMCP ``

  1. Set up a Python virtual environment (recommended):

``bash # Install uv if you haven't already: https://github.com/astral-sh/uv uv init uv venv source .venv/bin/activate # On Windows use: .venv\Scripts\activate ``

  1. Install dependencies:

``bash uv pip sync ``

  1. Ensure MATLAB is installed and the MATLAB Engine API for Python is configured for your Python environment. See MATLAB Documentation.
  1. Start MATLAB and share its engine: Run the following command in the MATLAB Command Window:

``matlab matlab.engine.shareEngine ` You can verify it's shared by running matlab.engine.isEngineShared in MATLAB (it should return true or 1`). The MCP server needs this shared engine to connect.

Configuration (for Claude Desktop)

To use this server with Claude Desktop:

  1. Go to Claude Desktop -> Settings -> Developer -> Edit Config.
  2. This will open claude_desktop_config.json. Add or modify the mcpServers section to include the MatlabMCP configuration:

``json { "mcpServers": { "MatlabMCP": { "command": "C:\\Users\\username\\.local\\bin\\uv.exe", // Path to your uv executable "args": [ "--directory", "C:\\Users\\username\\Desktop\\MatlabMCP\\", // ABSOLUTE path to the cloned repository directory "run", "main.py" ] // Optional: Add environment variables if needed // "env": { // "MY_VAR": "value" // } } // Add other MCP servers here if you have them } } ``

  1. IMPORTANT: Replace C:\\Users\\username\\... paths with the correct absolute paths for your system.
  2. Save the file and restart Claude Desktop.
  3. Logging: Server logs (from Python's logging module) will appear in Claude Desktop's MCP log files (accessible via tail -f ~/Library/Logs/Claude/mcp-server-MatlabMCP.log on macOS or checking %APPDATA%\Claude\logs\ on Windows).

Development

Project Structure:

MatlabMCP/
├── .venv/                     # Virtual environment created by uv
├── Docs/
│   └── Images/
│   └── Updates.md             # Documentation for updates and changes
├── main.py                    # The MCP server script
├── pyproject.toml             # Project metadata and dependencies
├── README.md                  # This file
└── uv.lock                    # Lock file for dependencies

Documentation

Check out [Updates](./Docs/Updates.md) for detailed documentation on the server's features, usage, and development notes.

Contributing

Contributions are welcome! If you have any suggestions or improvements, feel free to open an issue or submit a pull request.

Let's make this even better together!

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.