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Installation
- Python 3.10, 3.11, or 3.12
- MATLAB R2022b+ installed locally
- MATLAB Engine API for Python — comes with MATLAB, needs separate install
The MATLAB Engine API lets Python call MATLAB. Install it from your MATLAB installation:
cd /Applications/MATLAB_R2024a.app/extern/engines/python
pip install .Adjust the path for your MATLAB version (e.g.,
R2023b,R2024b).
cd "C:\Program Files\MATLAB\R2024a\extern\engines\python"
pip install .cd /usr/local/MATLAB/R2024a/extern/engines/python
pip install .import matlab.engine
eng = matlab.engine.start_matlab()
result = eng.eval("2 + 2", nargout=1)
print(result) # Should print 4
eng.quit()pip install matlab-mcp-pythongit clone https://github.com/HanSur94/matlab-mcp-server-python.git
cd matlab-mcp-server-python
pip install -e ".[dev]"Note: The [dev] extras include all optional dependencies (testing, monitoring). For a minimal install without dev/monitoring dependencies, use pip install -e . instead. To add only monitoring support (dashboard, health endpoint), use pip install -e ".[monitoring]".
For Windows 10/11, use the bundled offline installer — no admin rights needed:
git clone https://github.com/HanSur94/matlab-mcp-server-python.git
cd matlab-mcp-server-python
install.batThe installer auto-detects MATLAB, creates a virtual environment, and installs everything from bundled wheels — fully offline, no internet required.
# Single user (stdio transport) — simplest setup
matlab-mcp
# Multi-user (SSE transport) — shared server
matlab-mcp --transport sse
# With custom config
matlab-mcp --config my_config.yamlAdd to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"matlab": {
"command": "matlab-mcp"
}
}
}claude mcp add matlab -- matlab-mcpAdd to .cursor/mcp.json in your project:
{
"mcpServers": {
"matlab": {
"command": "matlab-mcp"
}
}
}Start the server:
matlab-mcp --transport sseThen point your client to http://localhost:8765/sse.
# Build the image
docker build -t matlab-mcp .
# Run with your MATLAB mounted
docker run -p 8765:8765 -p 8766:8766 \
-v /path/to/MATLAB:/opt/matlab:ro \
-e MATLAB_MCP_POOL_MATLAB_ROOT=/opt/matlab \
matlab-mcpEdit docker-compose.yml to set your MATLAB installation path:
services:
matlab-mcp:
build: .
ports:
- "8765:8765"
- "8766:8766"
volumes:
- ./config.yaml:/app/config.yaml:ro
- ./custom_tools.yaml:/app/custom_tools.yaml:ro
# Mount your MATLAB installation (adjust for your system):
# - /usr/local/MATLAB/R2024b:/opt/matlab:ro # Linux
# - /Applications/MATLAB_R2024b.app:/opt/matlab:ro # macOS
- results:/app/results
environment:
- MATLAB_MCP_SERVER_TRANSPORT=sse
- MATLAB_MCP_POOL_MAX_ENGINES=4
# - MATLAB_MCP_POOL_MATLAB_ROOT=/opt/matlabThen start the server:
docker compose upNote: The Docker image does not include MATLAB. You must mount your own MATLAB installation and ensure the MATLAB Engine API for Python is accessible inside the container.
python -m venv .venv
source .venv/bin/activate # macOS/Linux
# .venv\Scripts\activate # Windows
# Install MATLAB Engine API into the venv
cd /Applications/MATLAB_R2024a.app/extern/engines/python
pip install .
# Install server
cd /path/to/matlab-mcp-server-python
pip install -e ".[dev]"Override configuration settings via environment variables:
# Pool settings
export MATLAB_MCP_POOL_MIN_ENGINES=2
export MATLAB_MCP_POOL_MAX_ENGINES=10
export MATLAB_MCP_POOL_MATLAB_ROOT=/path/to/MATLAB
# Execution settings
export MATLAB_MCP_EXECUTION_SYNC_TIMEOUT=60
# Server settings
export MATLAB_MCP_SERVER_TRANSPORT=sse
export MATLAB_MCP_SERVER_HOST=0.0.0.0
export MATLAB_MCP_SERVER_PORT=8765
export MATLAB_MCP_SERVER_LOG_LEVEL=infoSee config.yaml for the complete list of configurable options.
If you previously installed as matlab-mcp-server, uninstall first:
pip uninstall matlab-mcp-server
pip install matlab-mcp-python