# Agentic SWMM

> Use this tool when you need to model and simulate stormwater management systems, as it provides a reproducible EPA SWMM workflow for building, simulating, and calibrating models, with capabilities for uncertainty analysis, GIS integration, and visualization. It solves problems related to urban flood risk assessment, stormwater infrastructure design, and climate resilience planning. The tool accepts input parameters such as model configurations, design storms, and climate scenarios, and outputs simulation results, plots, and performance metrics.

Canonical page: https://skillsregistry.net/skills/zhonghao1995-agentic-swmm-workflow  
JSON: https://api.skillsregistry.net/v1/skills/zhonghao1995-agentic-swmm-workflow

## Description

Eleven local stdio MCP servers exposing a reproducible EPA SWMM stormwater-modelling workflow: model building, simulation with run manifests and continuity checks, calibration, GIS/QGIS, design storms and climate scenarios, uncertainty analysis, plotting, and modelling memory.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/n2dr6c5akb)
- **Repository:** <https://github.com/Zhonghao1995/agentic-swmm-workflow>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "zhonghao1995-agentic-swmm-workflow"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zhonghao1995-agentic-swmm-workflow` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zhonghao1995-agentic-swmm-workflow/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt