mcp · Global

agentic-hydrology-platform

Open, agentic platform for hydrological modelling — an agentic runtime orchestrates data, model selection, training, runs & audit; LSTM for large-scale catchment streamflow & floods, SWMM for urban drainage & LID. Built on open data.

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What's in it

Data offered docs-verified: river discharge (streamflow) prediction · flood prediction · rainfall–runoff modelling with LSTM networks
Coverage llm-inferred: Global (catalogue region metadata); catchment-to-regional scale
Formats llm-inferred: MCP
Access llm-inferred: Free and open source (MIT licence); no authentication; local Python install

Useful for

Use cases llm-inferred: Catchment streamflow estimates from historic gauge and rainfall records where gauged data exist · Flood event prediction at catchment-to-regional scale to support flood risk assessment · Data-driven rainfall–runoff benchmark alongside physically based models in a hydrological study
Audience llm-inferred: hydrologists · flood consultants · drainage engineers · data scientists

Limitations

Constraints llm-inferred: Docs describe only the LSTM engine; SWMM, MIKE+ and data-preprocessing components live in separate repositories · Metadata lists no tools (tools: []), so no MCP tool surface is documented · Docs say LSTM is best where gauged or large-sample data exist, so ungauged catchments may be unsuitable · Quoted performance (NSE ≈ 0.87) is from a single example run on held-out years, not a general accuracy claim · Getting started uses a synthetic basin; real catchment data workflows are not documented in detail · No beta, maintenance or versioning status is stated

Licence: MIT
Authentication: Unknown — review source docs
GitHub stars: 5
Last commit: 03/07/2026
Last successful page check: 14/10/2026
Page health: healthy
Package: Not recorded
Verification: Not independently verified

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

Provenance & evidence

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)