by psu-efd · MCP Server · ★ 122
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pyHMT2D - Python-based Hydraulic Modeling Tools - 2D pyHMT2D is a Python package for controlling and (semi)automating 2D hydraulic modeling, pre-/post-processing simulation results, and enabling AI-agent workflows through MCP tools and Agent Skills. Currently, the following hydraulic models are supported: SRH-2D HEC-RAS Backwater-1D (a simple toy model for demonstration purpose) In the future, support for more 2D models may be added. If you want to use the AI-agent workflow, you will also need an AI coding assistant such as Claude Code, Cursor, or Gemini, along with the AI extras (). YouTube Video Demo: Installation and Running Examples Supported Platform Currently, only Windows is supported. This is because SRH-2D and HEC-RAS 2D are for Windows only. Most practitioners and engineers who run these 2D models use Windows almost exclusively. Linux platform has also been tested, but with limited support (you will need the Linux version of the hydraulics models). Motivations Two-dimensional (2D) hydraulic modeling, replacing one-dimensional (1D) modeling, has become the work horse for most engineering purpose
| Stars | 122 |
| Forks | 24 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.9470809212251/100 |
| Open Issues | 5 |
| Last Updated | 2026-05-17 |
| Created | 2021-03-03 |
| Platforms | mcp, python |
| Est. Tokens | ~18076k |
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pyHMT2D is Python Hydraulic Modeling Tools - 2D. It is categorized as a MCP Server with 122 GitHub stars.
pyHMT2D is primarily written in Python. It covers topics such as agentic, ai, automation.
You can find installation instructions and usage details in the pyHMT2D GitHub repository at github.com/psu-efd/pyHMT2D. The project has 122 stars and 24 forks, indicating an active community.
pyHMT2D is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to pyHMT2D on Agent Skills Hub include volcano-agent-sdk, n8n-claw, concierge. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.