Exposes live earth-science data (e.g., earthquakes from USGS) as tools for MCP-compatible AI agents, enabling them to fetch and reason about real-time geophysical events.
Enables querying seismic station metadata, regional earthquake catalogs, and federated waveform data availability across FDSN web services, letting users locate seismometers, retrieve local seismicity, and identify data holdings through direct tool calls or natural language.
MCP server wrapping the USGS Earthquake Hazards API, enabling AI assistants to search the global earthquake catalog, look up event details, count quakes, find 'Did You Feel It' reports, and read realtime feeds.
Enables AI agents to query live and historical USGS water data — real-time streamflow, gage height, temperature, precipitation, turbidity and other parameters — for individual gauge sites, and to discover which gauges are actively reporting a given parameter across a US state. Runs either as a keyless local stdio server or through a hosted gateway endpoint, with daily-value time series for trends and hydrographs.