Unified CLI for reproducible and auditable Agentic SWMM workflows.
Unified CLI for reproducible and auditable Agentic SWMM workflows. That is what the agentic mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
Agentic SWMM is an open-source, verification-first framework for reproducible and extensible stormwater modelling, starting with EPA SWMM. It connects QGIS-based preprocessing, upstream model generation from SWMMCanada inside Canada (real storm networks for 8 cities, synthesis anywhere else in the country) and SWMManywhere-based synthesis outside Canada, deterministic SWMM execution, QA checks, provenance tracking, calibration support, documentation, and modelling memory, while keeping human modellers in control.
The server publishes 7 tools. What each one is for:
Runtime-portable — ** the Skills and MCP servers also work with Codex, OpenClaw, and [HermesAgent — guided, SWMM-grounded:** agents can coordinate tasks, while model execution stays deterministic, inspectable, and CLI-runnableVerification — first provenance:** build, run, audit, and comparison stages emit traceable artifacts before outputs are treated as evidencerainfall — runoff figures, calibration summaries, and fuzzy uncertainty summariesObsidian — ready modelling notes and modelling-memory summariesPath — What it showsProject — Role in the ecosystemThe server ships on npm as skills, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
Among the planning and project tracking options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Agentic's toolset — Runtime-portable, Agent, Verification and 4 more — is a fair guide to whether it matches your workflow. It is maintained by Zhonghao Zhang, Caterina Valeo; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Agentic's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Runtime-portable | ** the Skills and MCP servers also work with [Codex](https://openai.com/codex/), [OpenClaw](https://github.com/openclaw/openclaw), and [Hermes Agent](https://github.com/NousResearch/hermes-agent). |
| Agent | guided, SWMM-grounded:** agents can coordinate tasks, while model execution stays deterministic, inspectable, and CLI-runnable. |
| Verification | first provenance:** build, run, audit, and comparison stages emit traceable artifacts before outputs are treated as evidence. |
| rainfall | runoff figures, calibration summaries, and fuzzy uncertainty summaries |
| Obsidian | ready modelling notes and modelling-memory summaries |
| Path | What it shows |
| Project | Role in the ecosystem |
{
"mcpServers": {
"agentic-swmm-workflow": {
"command": "npx",
"args": ["-y", "skills"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
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