Weather

Current conditions and a nine-day forecast for anywhere in the world, historical weather from the nearest NOAA station, earthquakes worldwide from USGS, live US weather alerts from the National Weather Service, and US storm history with deaths and damage since 1950.

Data from MET Norway and GeoNames (CC BY 4.0), NOAA and USGS. See Weather for coverage, freshness and credits.

Your agent reaches these on Vistazo's MCP server, https://mcp.vistazo.ai/mcp, through search_tools and call_tool, as weather__<tool> — for example weather__current_weather.

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Current conditions for one or more places — temperature, humidity, precipitation, wind, cloud cover and a plain-language sky description. One row per place, good for a stat card. Returns a units map for labels and the resolved coordinates of each place. No feels-like / apparent temperature is available on this connection.

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Daily forecast for the next N days — at most 9 (a larger days is a validation error, not a truncation) — one row per place per day with high/low/mean temperature, precipitation, max wind and conditions; no feels-like temperature. Same columns as historical_weather, so past and forecast union onto one chart. Days are LOCAL calendar days at each place. Returns a units map for axis labels and the resolved coordinates of each place.

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Past daily or monthly weather from the nearest NOAA weather station — one row per place per date with high/low/mean temperature, precipitation and wind. These are real station OBSERVATIONS, so a gap means no reading was taken; mean temperature and wind are not reported everywhere, and note names each place whose station reports none of a field in the range (approximate a missing mean as (max+min)/2 and say so). stations names the instrument each place resolved to — NOAA station id, name, coordinates and distance_km from the place. The station is the closest one with good coverage over the range, which need not be the geometrically nearest; say how far out it is when that matters (an airport 20 km away is a proxy, not the city centre). Use interval="monthly" for ranges beyond a year or two.

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Earthquakes worldwide from the USGS catalog, minutes behind real time. Location: one places name or latitude+longitude, with radius_km (default 500, max 5,000); omit both for worldwide. start_date/end_date default to the last 30 days, span at most 1 year. min_magnitude defaults to 2.5. One row per event — id, time (ISO UTC), magnitude, mag_type, place, latitude, longitude, depth_km, felt reports, PAGER alert, tsunami flag, significance, url — ordered by order_by time (newest first) or magnitude, at most limit (default 200, max 2,000; a notebook's call — vistazo.call or a data cell — may ask for up to 10,000) — 200 rows run about 60,000 characters, so pass a smaller limit or a higher min_magnitude for a glance. For a count over time pass bucket day | week | month: counts (period, count, max_magnitude) then covers EVERY matching event, while rows stays capped at limit — chart the counts, not the rows. A bucketed query matching more than 20,000 events is refused; raise min_magnitude or narrow the dates.

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Weather watches, warnings and advisories in effect RIGHT NOW from the US National Weather Service — US states, territories and coastal waters only; there is no alert history (past storms are storm_events). Filter by states (two-letter codes, up to 10) OR one place / latitude+longitude, plus event_types (e.g. ["Tornado Warning"]) and min_severity (Minor | Moderate | Severe | Extreme). Marine alerts (about three quarters of the feed) are left out unless include_marine is true. One row per alert, most severe first — id, event, severity, urgency, certainty, onset, ends, expires, headline, area, states, sender — at most limit (default 200, max 500). ends is when the hazard ends (null when NWS gives none); expires is only when this message lapses or is replaced, often hours before the hazard ends — show ends as an alert's end time; counts_by_state and counts_by_event cover the full result before the limit, and fetched_at says when the feed was read. Most alerts carry no geometry, so map them by state counts, not points.

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Past US storm events from the NOAA Storm Events Database, 1950 onward — tornadoes, floods, hail, hurricanes, heat, winter storms and every other NOAA event type, with deaths, injuries and damage. US states, territories and coastal waters only. NOAA publishes about three months behind: every response carries data_through (the latest event date loaded), and a range past it is simply empty there. Before 1996 NOAA timestamped most records in Central time wherever they occurred, so earlier times are approximate. Filter by states (two-letter codes, up to 10), event_types (NOAA names, e.g. "Tornado", "Flash Flood"), start_date/end_date (span at most 30 years), min_deaths, min_damage_usd. One row per event — event_id, begin/end time, state, county_or_zone, event_type, deaths, injuries, property and crop damage in USD, magnitude, tornado F/EF scale, begin coordinates — ordered by order_by time | deaths | injuries | damage (largest or newest first), at most limit (default 200, max 1,000; a notebook's call — vistazo.call or a data cell — may ask for up to 10,000). include_narrative adds NOAA's written account, caps the span at 2 years and holds limit to 1,000. For totals by type, state, year or month use storm_event_summary.

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Totals from the NOAA Storm Events Database (US, 1950 onward): events, deaths, injuries, property and crop damage in USD, grouped by one or two of group_by event_type | state | year | month. Same filters as storm_events — states, event_types, start_date/end_date (span at most 30 years), min_deaths, min_damage_usd. Time groups come back in time order, the others by event count, at most 1,000 groups. NOAA publishes about three months behind; every response carries data_through, and recent months past it read as zero rather than missing. Before 1996 NOAA timestamped most records in Central time wherever they occurred, so earlier month boundaries are approximate. Use this, not storm_events, for "which state had the most tornado deaths" or "damage by year".