Zhonghao1995/agentic-swmm-workflow

Overview

Agentic SWMM is a Python framework that automates stormwater modeling by integrating QGIS and EPA SWMM through the aiswmm runtime. It uses reusable Skills and MCP interfaces to provide reproducible, auditable workflows with QA verification, provenance tracking, and calibration support. The tool is compatible with Codex, Hermes, Claude code, and OpenClaw.

Best for

Best for
Developers and engineers building automated, auditable stormwater modeling pipelines

Use cases

• Automate stormwater model setup and calibration with provenance tracking
• Run reproducible simulations with integrated QA verification
• Integrate QGIS and EPA SWMM workflows via MCP interfaces

How to use

Install

curl -fsSL https://aiswmm.com/install.sh | bash

Tools exposed

• aiswmm

Tested with

Claude Code, ChatGPT, Codex, Claude, OpenClaw, Hermes Agent

Notes

Agentic SWMM is a Python framework that automates stormwater modeling by integrating QGIS and EPA SWMM through the aiswmm runtime. It uses reusable Skills and MCP interfaces to provide reproducible, auditable workflows with QA verification, provenance tracking, and calibration support. The tool is compatible with Codex, Hermes, Claude code, and OpenClaw.

12 stars on GitHub. Last updated 2026-06-17. Licensed MIT.

Use cases

• Automate stormwater model setup and calibration with provenance tracking
• Run reproducible simulations with integrated QA verification
• Integrate QGIS and EPA SWMM workflows via MCP interfaces

Pros

• Provides auditable and reproducible modeling workflows
• Supports multiple AI coding assistants for flexibility
• Includes built-in calibration and QA verification

Cons

• Limited to stormwater modeling domain
• Small community with only 12 stars
• Requires familiarity with QGIS and EPA SWMM

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.