Smarter Weather

Install

Works with Claude Code, VS Code, Codex, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/smarterweather-weather

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Permissions

What this server can do and what it asks for, from its tool list, install config and code. Checked Oct 26, 2026.

Tools

16 read · 0 write · 0 deleteRead-only

Secrets

1 (API keys, tokens or passwords)

Install scripts

None found

Runs as

Node.js package

Tools (16)

As the server listed them on Oct 25, 2026. Descriptions are the server’s own words; hidden characters are shown as [U+…].

• call_toolCall toolread-only

  Runs a tool find_tools lists, by name: same price, limits and result as calling it directly. Tools already in your list are called directly, not through this. `arguments` follows that tool's input schema.

• describe_datasetDescribe datasetread-only

  A dataset's variables (standard names, units, display units, categories, bands), horizon, step, cadence, freshness, cost class and an example_query for query_dataset. Example: {"dataset_id": "nbm_conus"}.

• find_toolsFind toolsread-only

  Lists the weather tools this connection does not show (best times, comparisons, forecast totals, air quality; station observations, soundings, hurricane recon; lightning, storm cells, storm reports; outlooks, forecaster text, hurricanes; climate records and normals; forecast accuracy; maps and charts; people at risk; crop heat units), with when to use each and its required arguments. Run one with call_tool, in this session, no reconnect. With `tools`, returns their full input schemas. Free; no network call.

• get_alertsGet NWS alertsread-only

  NWS watches, warnings, advisories. Point (city/ZIP/lat+lon): containing polygons. BBox or US state/DC/CONUS (codes, full names, US/national): intersecting polygons. A city miss is not a statewide all-clear — query the state or a bbox; never say regional inventory is impossible. NY/WA and "New York State"/"Washington State" are states; "New York"/"Washington" stay cities. Omit at for now; at (ISO-8601 UTC) is the snapshot then. Empty = all-clear or purged (~24h). alert_id = detail+geometry, ignores at. Ex: {"location":"WI","events":["Tornado Warning"]}.

• get_current_conditionsGet current conditionsread-only

  Current weather right now at a location from two independent sources in one call: the RTMA gridded analysis (exact-point values, updated sub-hourly) and the nearest METAR station observation (ground truth with raw METAR, flight category). Use the analysis for point-accurate values and the station for verification. Analysis fields: temperature_2m, dew_point_2m, relative_humidity_2m (derived here from temperature and dew point; listed in analysis.derived), wind_speed_10m, wind_direction_10m, wind_gusts_10m, surface_pressure (station pressure at ground level, not sea-level pressure), visibility, …

• get_forecastGet forecastread-only

  Complete weather overview for a location: current conditions, daily forecast (SPC threats, severity; view "detailed" adds CAPE, UV, full day/night periods), active alerts, and outlooks in one call. Pre-aggregated across NBM, HRRR, GFS, RTMA, and SPC and unit-converted server-side. Primary weather tool; reach for lower-level tools only when you need raw observations or a specific dataset. Times are UTC ISO 8601; quote daily[].astro.local to users, not UTC. If forecast.location.timezone_resolved is false, zone unknown: state times as UTC, never as local. Accepts a place name directly. Examples: …

• get_forecast_distributionGet forecast distributionread-only

  NBM probabilistic guidance for one weather aspect: percentiles (p10-p90), exceedance probabilities and ensemble spread. Use this for any question about odds, ranges, potential or confidence ("how much could we get", "range of possible highs", "how sure is this") -- a deterministic forecast value cannot answer one. Reading the percentiles: p50 is the most likely outcome, p90 is the reasonable worst case when the risk is the high end (snow totals, wind, rainfall), and p10 when the risk is the low end (cold, visibility, ceiling). A single percentile is not the forecast -- report the likely value …

• get_hourly_forecastGet hourly forecastread-only

  Blended hourly forecast: temperature, feels-like, humidity, wind, precipitation probability/amount, conditions, and icon per hour. hourly[0] is the current or next hour; hourly_coverage.first_time says which. Timestamps are UTC ISO 8601; convert to the local timezone before presenting. Ask for the days you need up front -- one call with days: 4 beats four calls. ALWAYS check hourly_coverage before answering about a specific hour: it reports first_time and last_time (the window the rows actually span), sample_interval_hours (past the first day rows are every 2-3h, not every hour), and truncated…

• get_observed_precipitationObserved precipitationread-only

  How much rain fell: observed precipitation totals at a location. Use for "did it rain", "how much rain fell", "rain in the last 24 hours / since yesterday". Source: MRMS MultiSensor QPE Pass2 (radar bias-corrected to rain gauges) over 1/3/6/24/48/72 h windows (CONUS; 1 h only in Alaska and Hawaii). Values have about 2 mm (0.08 in) resolution, so 0 means under about 1 mm; data runs about an hour behind real time. Pass `at` (within 33 h) for totals ending at a past time (newest frame up to 3 h before it). With include_nowcast (default) it also returns a next-hour radar nowcast (CONUS): peak inte…

• get_platform_statusGet platform statusread-only

  Current data-freshness status of the weather platform: overall state, per-source states (ok / degraded / outage / no_signal), open incidents with cause attribution (provider outage vs internal processing delay), and active provider advisories. Use this when a user asks whether data is current, when other tools return surprisingly stale data, or before presenting time-critical weather. If a source is degraded or in outage, tell the user their data may be stale rather than presenting it as live. No inputs. Refreshed about every 5 minutes.

• get_time_contextGet time contextread-only

  Complete temporal context for a location: local time, timezone, 14-day calendar with day names and Today/Tomorrow offsets, sunrise/sunset/solar times (from the weather pipeline's astro product), and moon phase. Use whenever you need to reason about dates, times, or daylight for a location -- including "what time is sunset?", "is it dark there now?", or "what day of the week is the 4th-day forecast?". If current_time.timezone_resolved is false, zone unknown: state times as UTC, never as local. Accepts a place name directly. Example: {"location": "Seattle, WA"}.

• list_datasetsList datasetsread-only

  Discover the gridded datasets (model grids, analyses) available at a location, or every public one when none is given, keyed by dataset_id. At a point: its domain (CONUS/Alaska/Hawaii) plus global grids, with freshness where tracked (latest model run as latest_run, latest_time, data_age_seconds, freshness_status). Use this to find dataset_id values for query_dataset or check whether data is current. Variables, units and standard names come from describe_dataset. Example: {"location": "Anchorage, AK"}.

• query_datasetQuery datasetread-only

  Raw time series of one dataset's variables at a point, with unit labels: any gridded product (NBM, HRRR, RRFS, GFS, RTMA, MRMS, air quality, ...). Time modes: hours (default 24), time_start+time_end (ISO 8601), or latest=true (newest value). Up to 168 frames: when truncated, send next_cursor as cursor with the same arguments. reference_time pins a model run; each series reports its run (reference_time, or reference_times when runs mix); runs older than about 48 h may be gone. For blended forecasts use get_forecast. Examples: {"location": "Denver, CO", "dataset_id": "rrfs_surface", "variables":…

• reverse_geocodeReverse geocoderead-only

  Resolve coordinates to a human-readable place (city, state, county, timezone). Use when you have lat/lon but need a display name or the local timezone. Example: {"lat": 39.74, "lon": -104.99} -> Denver, Colorado, America/Denver.

• search_catalogSearch catalogread-only

  Find which dataset answers a weather question when no dedicated tool fits: ranks the data catalog (model grids, radar, satellite, outlooks, observations) by the question's words and returns the best datasets with variable, units, cadence, a one-line why and the exact `call` (tool and arguments) to run next. Pass lat/lon, or `domain`, to keep only datasets covering the place; without one, Alaska/Hawaii twins fold into the CONUS dataset. Calls are ready for "now"; for a past time set `time_start`/`time_end` (or `at` where the tool supports it). Free; no network call.

Signals

Stars

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Forks

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Open issues

2

Last commit (this folder)

Oct 20, 2026 (8 days ago)

Last release

Oct 20, 2026 (8 days ago)

From GitHub (fetched Oct 24, 2026).

Details

Registry name

io.github.smarterweather/weather

Version

0.1.1

Auth

Auth not stated, API key

Packages

npm @smarterweather/mcp-weather

License

MIT

Repository

github.com/smarterweather/developer

Website

smarterweather.com/developers

First seen

Oct 24, 2026

Last checked

Oct 24, 2026

Source

Official MCP Registrygithub-graphql