mcp · Global

aihydro-tools

This repo holds the python tools related to hydrology and provides them as a MCP server to the AI-Hydro

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Data offered docs-verified: daily streamflow (USGS NWIS) · watershed delineation (NHDPlus/NLDI) · streamflow signatures (15+ flow statistics) · basin morphometry (28 metrics) · topographic wetness index (3DEP 10 m DEM) · NRCS Curve Number grid (NLCD + POLARIS) · basin-averaged GridMET forcing (prcp, tmax, tmin, PET, srad, wind) · CAMELS-US attributes (671 gauges)
Coverage llm-inferred: United States (inferred from US federal data sources)
Resolution docs-verified: 10 m DEM for terrain (3DEP); daily for NWIS streamflow
Formats llm-inferred: MCP server (aihydro-mcp) · Python package (pip install aihydro-tools[all])
Access docs-verified: Open source, Apache-2.0 licence; no authentication (ENTRY auth null); installed via pip

Use cases llm-inferred: Gauge-based streamflow baseline and flow signatures for a catchment · Watershed delineation and morphometry for catchment characterisation · TWI and Curve Number grids as inputs to runoff screening · Basin-averaged climate forcing extraction for hydrological model inputs
Audience llm-inferred: hydrologists · flood consultants · GIS analysts · researchers

Constraints llm-inferred: Named data sources are US federal (USGS NWIS, NHDPlus, GridMET, 3DEP, NLCD, POLARIS, CAMELS-US); no UK data sources documented · ENTRY regions say 'Global' but DOCS describe US-only sources · Requires a Python install and the aihydro-mcp server; not a hosted service · ENTRY tools list (quality_flags, aihydro.tools, ...) does not match the tool names in DOCS · DOCS are truncated; full tool parameter schemas are not visible · Depends on external services (USGS NWIS, NLDI, GridMET); availability not guaranteed

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

Tools/install/auth auto-extracted from README; quality score heuristic (stars, recency, tool count, licence).

Metadata observed 15/10/2026 · research sweep: github-search