mcp · Global

swatplus-builder

Agent Operable end to end swat plus modelling

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Data offered llm-inferred: SWAT+ model build from a USGS gauge ID · USGS NWIS observed discharge fetch · GridMET or synthetic weather inputs · soil profiles with soil_mode and pct_fallback_soils fidelity flags · locked-benchmark calibration and evidence bundle (allowed/blocked claims)
Coverage llm-inferred: USGS streamgage catchments (US); ENTRY regions say Global
Formats llm-inferred: CLI · Python API · JSON · MCP stdio · Docker
Access llm-inferred: Open source (MIT licence) and pip-installable; SWAT+ engine binary must be downloaded separately from swat.tamu.edu; no API key or OAuth listed

Use cases llm-inferred: Screen a gauged catchment's SWAT+ model build from a single USGS gauge ID · Produce calibration evidence with explicit allowed and blocked claims for a catchment model · Check soil data fidelity on a basin model via soil_mode and pct_fallback_soils · Drive model build and calibration runs from an LLM agent over MCP
Audience llm-inferred: hydrologists · water resources engineers · catchment modellers · AI agent developers

Constraints llm-inferred: Alpha status, v0.7.14 · Basin suite currently 0/11 Gate-verified per the docs' honest status page · Requires a separately installed SWAT+ engine binary · Workflow keyed to USGS gauge IDs; no UK gauge input documented · ENTRY tools (soil_mode, pct_fallback_soils, usgs_01547700, usgs_03339000) do not match the 13-tool MCP surface in the docs · Bridge calibration path is non-authoritative and fails loudly; use the real-engine locked path · research_grade is a legacy identifier and does not imply compliance with published streamflow criteria · Fallback soils above 25% emit a warning

Auto-extracted, unverified fields: tools, install, auth. Check upstream documentation.

Daily discovery 2026-10-15: GitHub search; verified via GitHub API. Tools/install/auth auto-extracted from README.

Metadata observed 14/10/2026 · daily-2026-10-15 (github-search)