Connect-MCP

Smarter Weather

io.github.smarterweather/weather · v0.0.1

Smarter Weather MCP: forecasts, alerts, outlooks, observations, AQI, grids, and map imagery.

MCPremotelocal · npmno credentialsWeatherScience & open dataE-commerce

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 14 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

B 79/100

What it does: 14 tools · 14 read, 0 write · Weather, E-commerce

Test call list_datasets: failed — tool error: {"type":"https://smarterweather.com/errors/bad-request","title":"Bad Request","status":400,"detail":"A location is requi (844 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +9
  • Read/write annotations: +5
  • Safe test call: 0
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://mcp.smarterweather.com
Package
registry:   npm
identifier: @smarterweather/mcp-weather
version:    0.0.1
transport:  stdio

Tools

14 tools listed at last check
  • search_locations Resolve a place to ranked candidates with lat/lon: city ("Denver"), "city, ST", ZIP ("50219"), or partial input with fuzzy=true ("bost" -> Boston); venues and addresses where enabled. Rows carry `type` place|zip|address|poi; pass a row's lat/lon to weather tools. `matched_via: "autosuggest"` marks r
  • get_forecast 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 to
  • get_hourly_forecast 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 d
  • get_current_conditions 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 fo
  • get_alerts 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 S
  • get_observed_precipitation 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).
  • get_forecast_distribution 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 can
  • search_catalog 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 r
  • describe_dataset Variables available in a dataset, with standard names, units, descriptions, and the time range of available data. Use before query_dataset to discover valid variable names. Example: {"dataset_id": "nbm_conus"}.
  • get_platform_status 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
  • get_time_context 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 -- includi
  • list_datasets Discover the datasets (model grids, analyses, observations) available at a location, keyed by dataset_id, with per-dataset freshness where tracked (latest model run as latest_run, latest_time, data_age_seconds, freshness_status). Only datasets covering the point are listed: its domain (CONUS/Alaska/
  • query_dataset Raw time series from a specific dataset for specific variables at a point. Power-user access to any gridded product (NBM, HRRR, RRFS, GFS, RTMA, MRMS, air quality, ...). Time modes: hours (next N hours, default 24), time_start+time_end (explicit ISO-8601 window), or latest=true (single most-recent v
  • reverse_geocode 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.

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