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606,552 tools. Updated 2026-09-24 08:47

"Current Weather Information or Forecasts" matching MCP tools:

  • Retrieves comprehensive weather data including current conditions, hourly, and daily forecasts. **Specific Data Available:** Temperature (Current, Feels Like, Max/Min, Heat Index), Wind (Speed, Gusts, Direction), Celestial Events (Sunrise/Sunset, Moon Phase), Precipitation (Type, Probability, Quantity/QPF), Atmospheric Conditions (UV Index, Humidity, Cloud Cover, Thunderstorm Probability), and Geocoded Location Address. **Location & Location Rules (CRITICAL):** The location for which weather data is requested is specified using the `location` field. This field is a 'oneof' structure, meaning you MUST provide a value for ONLY ONE of the three location sub-fields below to ensure an accurate weather data lookup. 1. Geographic Coordinates (lat_lng) * Use it when you are provided with exact lat/lng coordinates. * Example: {"location": {"lat_lng": {"latitude": 34.0522, "longitude": -118.2437}}} // Los Angeles 2. Place ID (place_id) * An unambiguous string identifier (Google Maps Place ID). * The place_id can be fetched from the search_places tool. * Example: {"location": {"place_id": "ChIJLU7jZClu5kcR4PcOOO6p3I0"}} // Eiffel Tower 3. Address String (address) * A free-form string that requires specificity for geocoding. * City & Region: Always include region/country (e.g., "London, UK", not "London"). * Street Address: Provide the full address (e.g., "1600 Pennsylvania Ave NW, Washington, DC"). * Postal/Zip Codes: MUST be accompanied by a country name (e.g., "90210, USA", NOT "90210"). * Example: {"location": {"address": "1600 Pennsylvania Ave NW, Washington, DC"}} **Usage Modes:** * **Current Weather:** Provide `location` only. Do not specify `date` and `hour`. * **Hourly Forecast:** Provide `location`, `date`, and `hour` (0-23). Use for specific times (e.g., "at 5 PM") or terms like "next few hours" or "later today". If the user specifies minute, round down to the nearest hour. Hourly forecast beyond 120 hours from now is not supported. Historical hourly weather is supported up to 24 hours in the past. * **Daily Forecast:** Provide `location` and `date`. Do not specify `hour`. Use for general day requests (e.g., "weather for tomorrow", "weather on Friday", "weather on 12/25"). If today's date is not in the context, you should clarify it with the user. Daily forecast beyond 10 days including today is not supported. Historical weather is not supported. **Parameter Constraints:** * **Timezones:** All `date` and `hour` inputs must be relative to the **location's local time zone**, not the user's time zone. * **Date Format:** Inputs must be separated into `{year, month, day}` integers. * **Units:** Defaults to `METRIC`. Set `units_system` to `IMPERIAL` for Fahrenheit/Miles if the user implies US standards or explicitly requests it. * The grounded output must be attributed to the source using the information from the `attribution` field when available.
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  • Retrieves comprehensive weather data including current conditions, hourly, and daily forecasts. **Specific Data Available:** Temperature (Current, Feels Like, Max/Min, Heat Index), Wind (Speed, Gusts, Direction), Celestial Events (Sunrise/Sunset, Moon Phase), Precipitation (Type, Probability, Quantity/QPF), Atmospheric Conditions (UV Index, Humidity, Cloud Cover, Thunderstorm Probability), and Geocoded Location Address. **Location & Location Rules (CRITICAL):** The location for which weather data is requested is specified using the `location` field. This field is a 'oneof' structure, meaning you MUST provide a value for ONLY ONE of the three location sub-fields below to ensure an accurate weather data lookup. 1. Geographic Coordinates (lat_lng) * Use it when you are provided with exact lat/lng coordinates. * Example: {"location": {"lat_lng": {"latitude": 34.0522, "longitude": -118.2437}}} // Los Angeles 2. Place ID (place_id) * An unambiguous string identifier (Google Maps Place ID). * The place_id can be fetched from the search_places tool. * Example: {"location": {"place_id": "ChIJLU7jZClu5kcR4PcOOO6p3I0"}} // Eiffel Tower 3. Address String (address) * A free-form string that requires specificity for geocoding. * City & Region: Always include region/country (e.g., "London, UK", not "London"). * Street Address: Provide the full address (e.g., "1600 Pennsylvania Ave NW, Washington, DC"). * Postal/Zip Codes: MUST be accompanied by a country name (e.g., "90210, USA", NOT "90210"). * Example: {"location": {"address": "1600 Pennsylvania Ave NW, Washington, DC"}} **Usage Modes:** * **Current Weather:** Provide `location` only. Do not specify `date` and `hour`. * **Hourly Forecast:** Provide `location`, `date`, and `hour` (0-23). Use for specific times (e.g., "at 5 PM") or terms like "next few hours" or "later today". If the user specifies minute, round down to the nearest hour. Hourly forecast beyond 120 hours from now is not supported. Historical hourly weather is supported up to 24 hours in the past. * **Daily Forecast:** Provide `location` and `date`. Do not specify `hour`. Use for general day requests (e.g., "weather for tomorrow", "weather on Friday", "weather on 12/25"). If today's date is not in the context, you should clarify it with the user. Daily forecast beyond 10 days including today is not supported. Historical weather is not supported. **Parameter Constraints:** * **Timezones:** All `date` and `hour` inputs must be relative to the **location's local time zone**, not the user's time zone. * **Date Format:** Inputs must be separated into `{year, month, day}` integers. * **Units:** Defaults to `METRIC`. Set `units_system` to `IMPERIAL` for Fahrenheit/Miles if the user implies US standards or explicitly requests it. * The grounded output must be attributed to the source using the information from the `attribution` field when available.
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  • Weather data from a global weather data provider — current conditions, short-range forecast, astronomy, historical, marine, and location search. Free, read-only, no wallet needed. Every action requires `q`, a location: a city name (e.g. "Paris"), "lat,lon" (e.g. "48.85,2.35"), a US/UK/Canadian postal code, or an IATA airport code. Pick one `action`: - current: current conditions for `q`. Optional `aqi` (default false) adds basic air quality data. - forecast: forecast for `q`. Optional `days` — this deployment runs on a data plan capped at 3 days, so only 1-3 is accepted; omit for the provider default. Optional `aqi`, `alerts` (default false, adds active weather alerts for the location where available). - astronomy: sunrise/sunset/moonrise/moonset/moon phase for `q` on `date` (required, YYYY-MM-DD). - search: resolve a fuzzy `q` into matching locations (name, region, country, lat/lon) — use this first if you only have an approximate place name and need to disambiguate. - history: past weather for `q` on `date` (required, YYYY-MM-DD, must be yesterday). This deployment enforces a free-tier data plan that only allows yesterday's date — any other date is rejected before a provider call is made. - marine: marine/sailing conditions for `q`. This deployment runs on a data plan limited to 1 day of data with no tide information. Results are for general informational purposes only — do not use them as the sole basis for decisions involving personal safety, aviation, marine navigation, or emergency planning.
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  • Weather data from a global weather data provider — current conditions, short-range forecast, astronomy, historical, marine, and location search. Free, read-only, no wallet needed. Every action requires `q`, a location: a city name (e.g. "Paris"), "lat,lon" (e.g. "48.85,2.35"), a US/UK/Canadian postal code, or an IATA airport code. Pick one `action`: - current: current conditions for `q`. Optional `aqi` (default false) adds basic air quality data. - forecast: forecast for `q`. Optional `days` — this deployment runs on a data plan capped at 3 days, so only 1-3 is accepted; omit for the provider default. Optional `aqi`, `alerts` (default false, adds active weather alerts for the location where available). - astronomy: sunrise/sunset/moonrise/moonset/moon phase for `q` on `date` (required, YYYY-MM-DD). - search: resolve a fuzzy `q` into matching locations (name, region, country, lat/lon) — use this first if you only have an approximate place name and need to disambiguate. - history: past weather for `q` on `date` (required, YYYY-MM-DD, must be yesterday). This deployment enforces a free-tier data plan that only allows yesterday's date — any other date is rejected before a provider call is made. - marine: marine/sailing conditions for `q`. This deployment runs on a data plan limited to 1 day of data with no tide information. Results are for general informational purposes only — do not use them as the sole basis for decisions involving personal safety, aviation, marine navigation, or emergency planning.
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  • Use this when you have VaR or Expected-Shortfall forecasts and need to know whether reality breached them more often or deeper than your claimed tail level allows -- a risk-forecast audit, not buy/sell advice. Does your risk model's VaR/ES forecast survive contact with reality? Exceedance backtest over YOUR forecasts -- a new claim type: risk numbers, not return claims. Submit realised per-period returns plus the VaR forecasts your model produced ex ante (positive loss thresholds at tail level alpha, e.g. 0.05 for a 95% VaR), optionally the matching expected-shortfall forecasts. The breach count is graded on the EXACT binomial Basel traffic-light zones (Basel Committee 1996: green below cumulative probability 0.95, yellow to 0.9999, red above) -- published boundaries, no house thresholds; red earns the named demote VAR_BREACH_RATE_EXCESS. Kupiec's proportion-of-failures LR (1995) and Christoffersen's independence LR (1998) ride along -- clustered breaches flag the advisory var_breaches_clustered (a model blind to volatility clustering). If ES forecasts are supplied, a joint (VaR, ES) mixture e-process (e-backtesting, Wang & Ziegel) grades breach DEPTH: crossing Ville's anytime-valid 1% line earns ES_TAIL_UNDERSTATED. Supply benchmark_var_forecasts (and optionally benchmark_es_forecasts, e.g. a rolling historical quantile) and the assay also tests EQUAL PREDICTIVE ABILITY: Diebold-Mariano (1995) on a strictly consistent loss (quantile tick, or the joint FZ0 loss of Fissler & Ziegel 2016 when both sides carry ES) -- a naive benchmark that beats your model past the one-sided 5% line earns RISK_FORECAST_DOMINATED_BY_BENCHMARK; the attention zone to 10% is the advisory risk_forecast_lags_benchmark. Demote-only: too many breaches can kill, too few is the mis-calibration advisory var_breach_rate_sparse -- conservative models pass with a flag, never a blessing. Code-computed end to end, fail-closed on malformed or undersized input (a series too short to reach the red zone answers insufficient_evidence instead of a hollow pass). Works for any asset class. NOT financial advice; no order path. Price: per check; see https://api.alphaassay.com/v1/meta/pricing (api_key required -- account setup at https://api.alphaassay.com/account).
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  • Daily board of forecasted wagers from Lumify's model — a prediction, not a beat-the-market claim (no OOS/independence gate; see list_ev for the gated main-line +EV claim). Player props (rate model) on MLB, NCAAF, NFL, NBA, NCAAB, NHL. High-confidence main-line picks on tennis, NFL, NCAAF, MLB, and soccer: one side per moneyline / spread / total when the uncertainty band does not include a coin flip. Tennis moneyline is ranking Bradley-Terry; tennis spreads/totals are a Normal-approx games model. Other sports use the published assessment probability. Each wager has p_hit, conviction, and posted books prices. Use list_ev to scan main lines by sharp-fair price gap; use this tool to scan high-probability forecasts. reliability is emerging on v0. 1 credit; empty slate is still 200. How + field catalog: https://lumify.ai/docs/forecasts Worked wager: https://lumify.ai/docs/understanding-odds#forecasts
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Matching MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables agents to search US federal agency procurement forecasts — what agencies intend to buy months or years before a solicitation exists — filtering by keyword, agency, NAICS, set-aside, fiscal year, and value band, and to pull full detail records with narrative, period of performance, and contacts. Coverage is reported honestly per agency, so results distinguish "nothing planned" from "never checked".
    116 npm
    MIT

Matching MCP Connectors

  • US federal agency procurement FORECASTS — what an agency says it intends to

  • Real-time weather conditions and multi-day forecasts via Open-Meteo — free, no API key required

  • Live JMA river flood forecasts and landslide alerts affecting a station's prefecture — NOT general weather warnings. Ask by station name in Japanese (新宿) or romaji (Shinjuku). Prefecture-level match (station master is Greater Tokyo). Relay of official JMA facts.
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  • Get a 14-day weather forecast for a campsite or location. Use this when the user asks about weather, temperature, rain, wind, or UV conditions at a campsite or destination. You can provide EITHER: - campsite_name: The name (or partial name) of a campsite to look up its GPS coordinates automatically, OR - latitude + longitude: Direct coordinates if already known Returns daily forecasts with max/min temperature, rain chance, precipitation amount, wind speed, UV index, and a weather description for each day.
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  • Live JMA river flood forecasts and landslide alerts affecting a station's prefecture — NOT general weather warnings. Ask by station name in Japanese (新宿) or romaji (Shinjuku). Prefecture-level match (station master is Greater Tokyo). Relay of official JMA facts.
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  • Call this when the user asks which indicators currently sit in an unusual band, whether a metric's current level historically preceded BTC moves, or for a cross-metric conditional overview. Returns every recorded metric in its historical band with the median 7-day BTC move that followed versus the base rate, with an n >= 30 gate; distributions, not forecasts.
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  • Complete weather overview for a location: current conditions, daily forecast (day/night periods, SPC threats, severity, CAPE, UV), active alerts, and convective outlooks in one call. Data is pre-aggregated across NBM, HRRR, GFS, RTMA, and SPC and unit-converted server-side. This is the primary weather tool; reach for lower-level tools only when you need raw observations or a specific dataset. Accepts a place name directly. Examples: {"location": "Denver"} or {"location": "Portland, OR", "days": 5} or {"lat": 41.4, "lon": -92.9}.
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  • Return stored forecasts, consensus-style predictions, central-bank projections, survey forecasts, IMF forecasts, nowcasts, or FXMacroData blended predictions for macro announcements. Use this with release_calendar and indicator_query when a report needs actual-vs-consensus, prior-vs-forecast, or event-surprise context. Rows are keyed by announcement_id/date/indicator and include prediction source metadata. Supported currencies: AUD, BRL, CAD, CHF, CNH, CNY, DKK, EUR, GBP, HUF, ILS, JPY, KRW, MYR, NGN, NOK, NZD, PEN, SEK, THB, TWD, USD. Call data_catalogue(currency) for the exact indicator slugs; the `indicator` parameter below also lists them. Access: requires an FXMacroData API key; an anonymous call returns subscription_required with a subscribe link.
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  • Get active NWS weather alerts for a US state. Returns current weather alerts including watches, warnings, and advisories issued by the National Weather Service. Args: state: Two-letter US state abbreviation (e.g. 'CA', 'TX', 'NY'). severity: Filter by severity level: 'Extreme', 'Severe', 'Moderate', or 'Minor'. event: Filter by event type (e.g. 'Tornado Warning', 'Flash Flood Watch'). limit: Maximum number of alerts to return (default 25, max 500).
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  • Paid $0.01 USDC exact on Base: current weather via public Open-Meteo. q= place and/or lat=&lon=. Optional units=metric|us. Attribution required. Complements /geo /tz. payTo 0x3903F05a17676566958B0a3E0c21E0bd49B66ea0.
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  • Read counted Markov transitions and empirical 5/20-day reach odds. Odds are withheld until 60 observed days; counts stay visible and absence is never precision. Historical frequencies are not calibrated forecasts. Display-only, never a state driver.
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  • Get current weather conditions for any location worldwide — temperature, wind, humidity, pressure, UV index, cloud cover, feels-like temp. Accepts city name, coordinates, zip code, or airport code. 100K+ stations globally (WeatherAPI.com)
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  • Get current weather and forecast for a location. Returns conditions, temperature, humidity, wind, and multi-day forecast. Args: location: City name or coordinates (e.g. 'London, UK', 'New York, NY', '37.7749,-122.4194')
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  • Get current weather observations for a German city. Sourced from the Deutscher Wetterdienst (DWD): temperature, wind, precipitation and related fields. Read-only, current conditions only (not a forecast). For warnings use ``get_city_resource(slug, resource='weather-warnings')``. For a broader question about the city (not just weather) use ``get_city_overview`` instead, which already includes a live weather highlight.
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  • Returns basic information about this neighborhood directory: name, locale, domain, description, canonical URLs for key sections, plus the current LOCAL TIME and CURRENT WEATHER at the neighborhood (temperature, condition). Use this for any "what time is it there" or "what's the weather like" context.
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  • Returns a 0-100 supply-chain modal-shift score (rail-to-truck cargo rebalancing inferred from AIS-observed freight flows, time series to 2001) with truck_share_delta, shift_velocity, disruption_flag, confidence, and methodology_version. Call when the user asks about rail strikes, trucking capacity, freight disruption, or local inflation risk, or when timing freight-rate locks, inventory pre-buys, or regional price forecasts. Updates: monthly.
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  • Returns a 0-100 US pilot-supply funnel health score (YoY growth across FAA airman certificate classes, weighted toward students, commercial pilots, and CFIs) with health_score, per-certificate KPI breakdown, and methodology_version, annual since 1992. Call when the user asks about pilot shortage, pilot supply, flight training demand, or aviation workforce trends, or when timing airline hiring plans, flight-school expansion, or trainer-aircraft demand forecasts. Updates: annually.
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