Install
$ agentstack add mcp-jigarbhoye04-matlabmcp ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →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
runMatlabCodetool. - Retrieve Variables: Get the value of variables from the MATLAB workspace using the
getVariabletool. - 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_threadto prevent blocking the server. - Standard Logging: Uses Python's standard
loggingmodule, outputting tostderrfor 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.
numpyPython package.
Installation
- Clone this repository:
``bash git clone https://github.com/jigarbhoye04/MatlabMCP.git cd MatlabMCP ``
- 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 ``
- Install dependencies:
``bash uv pip sync ``
- Ensure MATLAB is installed and the MATLAB Engine API for Python is configured for your Python environment. See MATLAB Documentation.
- 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:
- Go to Claude Desktop -> Settings -> Developer -> Edit Config.
- This will open
claude_desktop_config.json. Add or modify themcpServerssection to include theMatlabMCPconfiguration:
``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 } } ``
- IMPORTANT: Replace
C:\\Users\\username\\...paths with the correct absolute paths for your system. - Save the file and restart Claude Desktop.
- Logging: Server logs (from Python's
loggingmodule) will appear in Claude Desktop's MCP log files (accessible viatail -f ~/Library/Logs/Claude/mcp-server-MatlabMCP.logon 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.
- Author: jigarbhoye04
- Source: jigarbhoye04/MatlabMCP
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.