aihydro-tools 1.0.2

AI-Hydro: 17 hydrological research tools as an MCP server for AI agents

aihydro-tools

17 hydrological research tools as an MCP server for AI agents.

aihydro-tools is the Python backend for AI-Hydro, a VS Code extension that gives AI assistants direct access to hydrological analysis tools via the Model Context Protocol (MCP).

Install

pip install aihydro-tools[all]

Or install only what you need:

pip install aihydro-tools[data]       # streamflow, forcing, land cover
pip install aihydro-tools[analysis]   # watershed, signatures, TWI, CN
pip install aihydro-tools[modelling]  # differentiable HBV-light, LSTM
pip install aihydro-tools[mcp]        # MCP server only (minimal)

Run the MCP Server

aihydro-mcp

This starts the MCP server on stdio, ready for any MCP client (AI-Hydro extension, Claude Code, Cursor, etc.).

Register with an IDE

python setup_mcp.py --ide vscode       # AI-Hydro VS Code extension
python setup_mcp.py --ide claude-code  # Claude Code CLI
python setup_mcp.py --check            # verify 17 tools registered

Tools (17)

Category	Tools
Watershed	delineate_watershed
Streamflow	fetch_streamflow_data
Signatures	extract_hydrological_signatures
Geomorphic	extract_geomorphic_parameters
Terrain	compute_twi
Curve Number	create_cn_grid
Forcing	fetch_forcing_data
CAMELS	extract_camels_attributes
Knowledge	query_hydro_concepts
Modelling	train_hydro_model, get_model_results
Session	start_session, get_session_summary, clear_session, add_note, export_session, sync_research_context

Example

You: "Delineate the watershed for USGS gauge 01031500 and fetch 10 years of forcing data."

AI-Hydro: [calls delineate_watershed → fetch_forcing_data]
          Watershed: 769 km², Piscataquis River ME
          Forcing: 3,652 days of GridMET data (prcp, tmax, tmin, PET, srad, wind)

Data Sources

• USGS NWIS — daily streamflow via hydrofunctions
• NHDPlus / NLDI — watershed delineation via pynhd
• GridMET — climate forcing via pygridmet
• 3DEP — DEM and terrain analysis via py3dep
• NLCD / POLARIS — land cover and soils
• CAMELS-US — catchment attributes via pygeohydro

Session Persistence

Every tool result is cached in a HydroSession (JSON file per gauge at ~/.aihydro/sessions/). Expensive computations are done once and reused across conversations.

License

Apache 2.0

Links

• AI-Hydro Extension: github.com/AI-Hydro/AI-Hydro
• Issues: github.com/AI-Hydro/aihydro-tools/issues
• Author: Mohammad Galib ([e-mail])