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Agentic HEC-RAS

A headless, natural-language-driven, automated modelling workflow for HEC-RAS. Skills + an MCP server for Claude Code, Codex, Hermes, or OpenClaw: describe a goal in plain language and the agent inspects, edits, runs, reads, compares and plots a HEC-RAS model — 1D, 2D or 1D/2D — without ever opening the GUI.

CI Python 3.10+ HEC-RAS 6.x / 7.0.1 MCP 1.x / 2.x MIT license experimental

Experimental / pre-release. One MCP server (10 tools) + 5 skills, a thin layer over ras-commander (MIT) and h5py. Verified end to end on HEC's official Muncie 2D example with HEC-RAS 7.0.1. Sibling of agentic-swmm-workflow (urban drainage) and Agentic-MIKE-Plus (MIKE+): together they cover sewer network → river / 2D flood hydraulics under one agentic pattern.

Install: just tell your agent

Paste this to your AI coding agent (Claude Code, Codex, Hermes, OpenClaw):

Install "Agentic HEC-RAS" for me: an MCP server + skills to drive HEC-RAS headless.

1. Clone https://github.com/Zhonghao1995/Agentic-HEC-RAS and skim its README.
2. With Python 3.10+:
     python -m venv .venv
     .venv\Scripts\python.exe -m pip install -e .
3. Register with me (Claude Code):
     claude mcp add hec-ras -- "<abs-repo>\.venv\Scripts\python.exe" -m hecras_mcp.server
   (Codex / Hermes / OpenClaw: copy config/mcp.sample.json)
4. Copy skills/* into ~/.claude/skills/, then run scripts/smoke_test.py (should list 10 tools).
5. Tell me which tools need HEC-RAS installed (only ras_run does) and where Ras.exe was found
   (set HECRAS_EXE if it was not).

Two install profiles:

  • Read / compare / plot / edit files. Cross-platform, no HEC-RAS: pip install -e . — everything except ras_run works on any machine that has the .p##.hdf results (or the project text files).
  • Run too. Windows + HEC-RAS 6.x / 7.0.1 installed (free download, no license). Ras.exe is auto-detected in the default install folder, or set HECRAS_EXE.

Why it matters

  • Natural-language-driven. "Run the 2D plan with 20 % more inflow and tell me how much the downstream stage rises" — the agent copies the project, edits the .u##, runs Ras.exe -c, reads the HDF, compares, plots, and writes a manifest.
  • Fully headless. No GUI, no COM controller: HEC-RAS's own command line (Ras.exe -c project.prj plan.p##) inside a copied project folder.
  • MCP-native and portable. One server speaks the Model Context Protocol; works with Claude Code, Codex, Hermes or OpenClaw via a single config line.
  • HEC-RAS optional for reading. Results (.p##.hdf), comparison and figures need only Python — teammates without HEC-RAS can still analyse.
  • Verification-first. ras_run returns a QA status (max WSEL error, volume error %, ERROR / WARNING lines) the skills must gate on; every case ends with a sha256 manifest.
  • Small and testable. Pure-Python contracts (boundary-table rewriting, QA classification, comparison, manifest) with a HEC-RAS-free unit-test suite in CI; add a tool or skill by dropping in a file.

How it works

Skills (markdown playbooks) tell the agent when and how; the agent calls MCP tools; the tools call ras-commander (project parsing, .p## edits, Ras.exe -c) and h5py (results). The server never imports HEC-RAS itself, so it starts anywhere.

agent  ->  reads skills/ras-*/SKILL.md  ->  calls MCP tools  ->  ras-commander / h5py  ->  Ras.exe -c  /  .p##.hdf

Tools (one server, hec-ras)

Tool Does HEC-RAS
ras_project_info plans (title, g##/u##, sim window, intervals, cores, results present?), geometries, flow files, boundary conditions (river/reach/RS or 2D BC line, kind, interval, n, peak) no
ras_project_copy copy the whole project folder (terrain / DSS refs stay valid) before any edit or run no
ras_plan_set simulation window, computation / output / mapping interval, cores, short id, title, description, geometry, flow file no
ras_flow_set_hydrograph replace or scale one boundary table (flow / stage / lateral / precipitation / gate), set QMult, change interval no
ras_run Ras.exe -c headless run + QA: status, max WSEL error, volume error %, log tail, runtime, HDF path yes
ras_results_summary run QA, volume accounting, cross-section peaks, 2D wet cells / max depth, reference lines, units no
ras_results_timeseries one series (cross section, reference line / point, boundary, 2D cell) with peak and timing no
ras_results_compare baseline vs scenario: delta peak / timing / RMSE / NSE / volume, or every cross section ranked by change no
ras_plot hydrograph overlay, max-WSE profile, 2D max-depth map (PNG) no
ras_manifest_write provenance manifest: project, plan, inputs, results, figures with sha256, run QA, edits, tool calls no

Five skills orchestrate them: ras-end-to-end (the SOP: modes, run directory, hard rules, stop rules, QA gates), ras-model, ras-runner, ras-results, ras-audit.

Install the skills into any skills-aware agent (Claude Code, Codex, OpenCode, …) in one command, no clone needed:

npx skills add Zhonghao1995/Agentic-HEC-RAS      # all 5; add --list to preview, or --skill <name> for one

Demo: Muncie (official 2D example, HEC-RAS 7.0.1)

Baseline vs +20 % upstream inflow, entirely through the tools (scripts/e2e_muncie.py): two 24-hour 1D/2D runs of ~65 s each on 4 cores, downstream peak flow 21,000 → 25,200 cfs (+20.0 %), downstream max stage 938.7 → 940.7 ft (+2.0 ft), 2D area 4,905 → 4,997 wet cells, max depth 20.3 → 20.4 ft.

Downstream flow hydrograph, baseline vs +20% inflow

Maximum water surface profile along the White River reach

Maximum depth map of the 2D Interior Area

Full evidence (commands, tool returns, and the honest scope boundary) is in docs/verification.md.

Scope (v0.1) and honest boundaries

  • Operates on existing HEC-RAS projects: inspect, edit boundaries / plan settings, run, read, compare, plot, audit.
  • Building a new model (terrain, 2D mesh, cross sections, infiltration layers, structures) still needs RAS Mapper / the GUI.
  • Runs need Windows + HEC-RAS. HEC-RAS 7.0.1 ships Linux compute engines (RasUnsteady, run via WSL) but they need Windows-side preprocessing; they are not wired into ras_run yet.
  • HEC-RAS may show its Terms and Conditions for Use form on headless launches; ras_run accepts it for you (accept_tcu, default true — read the terms at hec.usace.army.mil/software/hec-ras) and kills runs after timeout_s.
  • Gridded (DSS) precipitation and steady-flow (.f##) profiles are read but not edited.

Development

pip install -e ".[dev]"
pytest                          # ~3 s, no HEC-RAS needed
python scripts/smoke_test.py    # tool discovery + real stdio MCP round-trip
python scripts/call_tool.py --list
python scripts/call_tool.py ras_results_summary "{\"hdf\": \"C:/models/Muncie/Muncie.p03.hdf\"}"

The tests pin the .u## boundary-table writer (fixed-width, touching fields, count line, CRLF), the QA classifier, the comparison metrics, the manifest, tool discovery and the server's failure shape. Add a tool or skill by dropping a file under hecras_mcp/tools/ or skills/ (auto-discovered), and ship a test with it.

License

MIT © 2026 Zhonghao Zhang, University of Victoria. Built on ras-commander (MIT), h5py, pandas, matplotlib and the Model Context Protocol. HEC-RAS is developed and distributed free of charge by the U.S. Army Corps of Engineers Hydrologic Engineering Center; it is not open source and is not redistributed here.

About

Skills + MCP server to drive HEC-RAS headless (run plans, read HDF results, plot, compare) via natural language. Sibling of agentic-swmm-workflow and Agentic-MIKE-Plus.

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