OpenPASO MCP Server
openPASO (formerly OASiS): an MCP server that lets an AI model run nine finite-element and multiphysics codes, with curated knowledge, verified execution and cross-code coupling. Under active development; contributions welcome.
OpenPASO is an open-source mcp server by open-PASO, written mainly in Python, with 29 GitHub stars and the MIT license. Its code was last updated Oct 15, 2026. The latest PyPI release is openpaso 1.3.0, published Sep 24, 2026, with 20 downloads last week.
[!WARNING] openPASO is under active development, and we invite you to help. It works and is used for real simulations, but it is young: things change quickly and you will find rough edges. Try it, tell us what broke, and share what you know about a solver. See Contribute.
What it does
Simulation programs, called solvers, compute how things physically behave: how a part bends, how heat spreads, how air flows. They are powerful and hard to use, and each one has its own input format and its own traps. openPASO puts nine of them behind one door and lets an AI model open it: you describe what you want in a normal sentence, and the model picks a solver, writes the input, runs it, and checks that the answer is computed correctly.
Quick start
You need Python 3.10–3.13 and about ten minutes. One solver is enough to begin.
pip install openpaso # the server, with scikit-fem as a first solver
openpaso doctor # which solvers openPASO can use on this machine; no key, no network
openpaso # starts the MCP server on stdio; Ctrl-C to stop
Missing a solver? openpaso install ngsolve (or kratos, dune, ...) checks first and installs only
what is missing, the same way the server's setup_backend tool would.
openpaso is the command your AI app's MCP configuration points at. Working from a checkout
instead (to change the code, or to run check_install.py, which lists the solvers openPASO can
use on your machine without a key or network):
git clone https://github.com/open-PASO/openPASO.git
cd openPASO
python3 -m venv .venv && source .venv/bin/activate
pip install -e . scikit-fem
python check_install.py
Then connect an AI model, one of two ways:
- Option A — an AI app you already have (Claude Code, Claude Desktop, Cursor): no extra cost. Set it up →
- Option B — your own OpenRouter key: one command per simulation, any model. Set it up →
Solvers
| scikit-fem | NGSolve | Kratos Multiphysics |
| DUNE-fem | FEniCSx | deal.II |
| FEBio | 4C Multiphysics | SPARTA |
Documentation
Everything else is on the documentation website: installing each solver, both ways of use step by step, all 24 tools the model gets, how openPASO checks an answer, coupling two solvers on one problem, troubleshooting, and a glossary for every word.
Contribute
Reports of what did not work, solver traps you know, and plain-language fixes to the documentation are all very welcome. One rule stands above the rest: every improvement must help all simulations, not one example. See CONTRIBUTING.md and the Contribute page.
Licence and citation
MIT licence. openPASO was first published as OASiS; the archived releases and the paper use that name. If you use openPASO in research, please cite:
@software{openpaso2026,
title = {openPASO: an open-source multi-physics and multi-code framework
for verified computer simulations},
author = {Hermann, Alexander and Shojaei, Arman and Scheider, Ingo and Cyron, Christian},
year = {2026},
doi = {10.5281/zenodo.20543501},
url = {https://github.com/open-PASO/openPASO}
}
<p align="center">
<sub>Helmholtz-Zentrum Hereon · Institute of Materials Mechanics ·
Hamburg University of Technology</sub>
</p>OpenPASO alternatives
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