Overview
PyMechanical is a Python interface for Ansys Mechanical (FEA software for structural engineering), enabling automation and integration of simulation workflows from 2024 R2 and later.
PyMechanical provides two distinct modes of interaction:
Embedding mode — Run Mechanical directly in your Python process via the App class. Full object-model access, fast startup, ideal for Jupyter notebooks and interactive scripting.
Remote session mode — Launch Mechanical as a separate server process and communicate via gRPC. Process isolation, optional GUI, ideal for CI/CD, Docker, and automation.
Compatibility
Python: 3.12 - 3.14
Mechanical: 2024 R2 (v242) and later
Platforms: Windows, Linux
Installation
Install from PyPI:
pip install ansys-mechanical-core
For graphics support:
pip install ansys-mechanical-core[graphics]
For RPC functionality:
pip install ansys-mechanical-core[rpc]
For AI assistant integration via the Model Context Protocol (MCP):
pip install ansys-mechanical-core[mcp]
Requirements:
Licensed copy of Ansys Mechanical (2024 R2 or later).
For embedded mode: Local Mechanical installation required.
For remote session mode: Network access to a running Mechanical instance.
Quick start
Embedding mode:
from ansys.mechanical.core import App
app = App(globals=globals())
print(app)
# Access Mechanical objects directly
Model.AddStaticStructuralAnalysis()Remote session mode:
from ansys.mechanical.core import launch_mechanical
mechanical = launch_mechanical()
result = mechanical.run_python_script("2+3")
print(result) # Output: 5
mechanical.exit()Connect to existing instance:
from ansys.mechanical.core import connect_to_mechanical
mechanical = connect_to_mechanical(port=10000)
result = mechanical.run_python_script("Model.Name")
print(result)Troubleshooting
Connection refused: Ensure Mechanical is running and the port is accessible.
License error: Verify your Ansys license is properly configured.
Import error: Check that ansys-pythonnet is installed (not pythonnet).
Linux embedding: Use mechanical-env to run Python scripts for embedded mode.
Documentation and support
PyMechanical-MCP — AI assistant integration via MCP
Issues — report bugs or request features
Discussions — ask questions
1 maintainer
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