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198,250 tools. Last updated 2026-06-13 05:59

"Recent three-day weather forecast for Beijing" matching MCP tools:

  • Look back at finished-match scores from the 30-day results cache, most-recent-first. Results-only: each entry is the final score, red cards and finished time (no odds). Unlike the live tools, these survive a restart — use it for "what was the score of X?" or "yesterday's results". Args: date: optional UTC kickoff date "YYYY-MM-DD" — the day the match was played. team: optional case-insensitive substring matched against either team name. league: optional case-insensitive substring matched against the league name. limit: max results to return, most-recent-first (1–200, default 50).
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  • Get the latest narrative forecast product from a Weather Forecast Office (WFO). The default product is AFD (Area Forecast Discussion), which explains the meteorological reasoning behind the forecast — synoptic setup, model guidance, and forecaster confidence. Other types: HWO (Hazardous Weather Outlook, 1-7 day severe/flood/winter outlook), ZFP (Zone Forecast Product, zone-by-zone text), SPS (Special Weather Statement, short-fuse advisory). The office code is the 3-letter WFO identifier returned as the "office" field by nws_get_forecast. Fetches the two-hop products API: list endpoint first (newest product), then the full product detail.
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  • Fetch national debt (Debt to the Penny) — total public debt outstanding broken into publicly-held debt and intragovernmental holdings. Three modes: "latest" returns the most recent business day's record; "date" returns the record for a specific date (must be a business day — the API only records debt on days markets are open); "series" returns a date range and optionally spills results to DataCanvas for SQL analysis via treasury_dataframe_query. Records go back to 1993-01-04. As of 2026-05-28 the total debt is approximately $39.18T.
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  • Current space-weather snapshot: NOAA R/S/G storm scales (today + 3-day forecast), latest Kp index with its G-scale equivalent and aurora-visibility latitude, and a plain-language status summary. The quickest way to answer "is anything happening right now?" — use before deciding whether to drill into solar wind (noaa_spaceweather_get_solar_wind), aurora (noaa_spaceweather_get_aurora_forecast), or alert details (noaa_spaceweather_get_alerts).
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  • Get daily weather for a location — works for BOTH historical weather (past dates) and forecast (future or no dates). Use this for HISTORICAL weather and "weather on a past date" questions, e.g. "what was the weather in Paris on 2023-07-04" (location: "Paris", start_date: "2023-07-04"). Pass start_date alone for a single day, or start_date + end_date for a range (weather timeline). Returns per-day temp/min/max, humidity, precipitation, wind, and conditions. Example: weather_timeline({ location: "London", start_date: "2024-01-01", end_date: "2024-01-07" }).
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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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  • Real-time weather conditions and multi-day forecasts via Open-Meteo — free, no API key required

  • Pirate Weather forecast API (Dark Sky-compatible). Free key required.

  • Physical climate intelligence for insurance underwriting, agritech, logistics, energy trading and ESG/climate risk disclosure. Three modes: (1) forecast — 14-day daily weather forecast with temperature, precipitation, wind and humidity; (2) historical — daily records and monthly aggregates for any date range since 1940, with anomaly detection (P90/P95 heat events, extreme precipitation days); (3) climate_risk — long-term physical risk scoring combining CMIP6 ensemble projections (2020-2050), altitude, FEMA flood zones (US) and historical baselines. Risk dimensions: flood, heat (days >35°C/year), drought (SPI), wildfire, sea-level. Overall score 0-100 (100 = severe). Location: city string or lat/lon coordinates. Sources: Open-Meteo (keyless, global, 1940→2050), Open-Elevation, FEMA NFHL (US), NOAA CDO (optional NOAA_API_KEY env var for US+global station data). SLA: ≤25s p95. Cache: 1h forecast / 24h historical / 7d climate_risk.
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  • Get camping-specific 7-day weather forecast with suitability ratings and gear recommendations. Uses the Open-Meteo API (no key required) to provide: - Daily high/low temps, conditions, precipitation, wind - Camping suitability rating per day (excellent/good/fair/poor/not_recommended) - Gear recommendations based on conditions - Safety warnings for extreme weather - Best camping days in the forecast period Args: latitude: Campground latitude longitude: Campground longitude campground_name: Campground name for context (optional) check_in_date: Planned check-in date ISO format (optional) check_out_date: Planned check-out date ISO format (optional)
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  • Get the text forecast for a public NWS forecast zone. Returns named forecast periods (e.g., "Today", "Tonight", "Monday") with detailed narrative text — the human-readable, zone-level forecast written by local forecasters. Completes the alert-to-forecast chain: nws_search_alerts returns zone codes in "affectedZones", and nws_find_stations returns them in the "forecastZone" column; use those codes here. Zone codes follow the pattern XXZ### (e.g., "WAZ315" for Western Washington lowlands). County zone codes (XXC###) are not supported — use the forecast zone code.
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  • Returns structured pricing data for Recursive support agent plans. Three tiers: Basic ($49/mo), Pro ($99/mo), Premium ($299/mo). Use for quick pricing lookups without an LLM call.
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  • Weather forecast for coordinates: hourly and/or daily variables for up to 16 days ahead, with optional past_days (up to 92) for recent history. Use past_days instead of openmeteo_get_historical for dates within the last 1–5 days, since ERA5 has a variable lag. Returns per-timestamp records — each hourly entry contains a "time" field (ISO 8601) plus one key per requested variable; each daily entry contains a "time" field (YYYY-MM-DD) plus requested variables. Common hourly variables: temperature_2m, precipitation, wind_speed_10m, relative_humidity_2m, cloud_cover, uv_index, apparent_temperature, precipitation_probability, weather_code, surface_pressure, visibility, wind_direction_10m, wind_gusts_10m, dew_point_2m. Common daily variables: temperature_2m_max, temperature_2m_min, precipitation_sum, wind_speed_10m_max, sunrise, sunset, uv_index_max, precipitation_hours, weather_code. At least one of hourly_variables or daily_variables is required.
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  • Physical climate intelligence for insurance underwriting, agritech, logistics, energy trading and ESG/climate risk disclosure. Three modes: (1) forecast — 14-day daily weather forecast with temperature, precipitation, wind and humidity; (2) historical — daily records and monthly aggregates for any date range since 1940, with anomaly detection (P90/P95 heat events, extreme precipitation days); (3) climate_risk — long-term physical risk scoring combining CMIP6 ensemble projections (2020-2050), altitude, FEMA flood zones (US) and historical baselines. Risk dimensions: flood, heat (days >35°C/year), drought (SPI), wildfire, sea-level. Overall score 0-100 (100 = severe). Location: city string or lat/lon coordinates. Sources: Open-Meteo (keyless, global, 1940→2050), Open-Elevation, FEMA NFHL (US), NOAA CDO (optional NOAA_API_KEY env var for US+global station data). SLA: ≤25s p95. Cache: 1h forecast / 24h historical / 7d climate_risk.
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  • Computes physical (23-day), emotional (28-day), and intellectual (33-day) biorhythm cycles for a birth date. SECTION: WHAT THIS TOOL COVERS Returns cycle values (-1.0 to +1.0), percentage, phase label (High/Rising/Falling/Low), and critical day flags for each cycle. Critical days occur when a cycle crosses the zero line — these represent instability and vulnerability to poor judgment or accidents. Supports single-day snapshot (days=1) and multi-day range (up to 90 days). Formula: sin(2π × t / cycle_length) where t = days since birth. Also returns composite_score (average of three cycles) and has_critical_day flag. Biorhythm is a Western concept — Vedic equivalents are Tarabala and Chandrabala (use asterwise_get_nakshatra_prediction for the Vedic equivalent). SECTION: WORKFLOW BEFORE: None — standalone. AFTER: asterwise_get_nakshatra_prediction — for the Vedic personalized daily prediction. SECTION: INPUT CONTRACT birth_date (required): Date of birth in YYYY-MM-DD format. target_date (optional): Date to compute for. Defaults to today. days (optional int 1-90): Number of consecutive days. Default 1. SECTION: OUTPUT CONTRACT (single day) data.birth_date, data.target_date, data.days_since_birth (int) data.cycles{}: physical, emotional, intellectual — each: value (float -1.0 to +1.0), percentage (float), phase (string), is_critical (bool), cycle_length_days (int), description (string) data.critical_today[] (string array of cycle names that are critical) data.has_critical_day (bool) data.composite_score (float — average of three cycles) data.note (string — explains Vedic equivalents) SECTION: OUTPUT CONTRACT (date range, days > 1) data.birth_date, data.start_date, data.end_date, data.days data.daily[] — array of day objects each with date, cycles{}, critical[], composite_score SECTION: COMPUTE CLASS FAST_LOOKUP — pure math, no ephemeris. SECTION: ERROR CONTRACT INVALID_PARAMS (upstream): birth_date after target_date → INTERNAL_ERROR INTERNAL_ERROR: Any upstream API failure → MCP INTERNAL_ERROR SECTION: DO NOT CONFUSE WITH asterwise_get_nakshatra_prediction — Vedic Tarabala/Chandrabala daily prediction. asterwise_get_panchanga — Vedic daily panchanga elements, not biorhythm cycles.
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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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  • Time-series of electricity unit rates for a specific tariff — for Agile this is the half-hourly wholesale-tracked pricing. Returns {count, results:[{value_exc_vat, value_inc_vat, valid_from, valid_to, payment_method}]} in p/kWh, newest first. Set kind="standing_charges" for the p/day standing charge instead. Defaults to the most recent rates; pass period_from/period_to to bound a window.
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  • Get a daily or hourly weather forecast for a location. Returns a list of forecast periods with conditions, temperatures, precipitation probability, and wind. Location can be "lat,lon" coordinates or a city name. Example: forecast({ location: "london", timestep: "1d", units: "metric" })
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  • Multi-day weather forecast (up to 16 days) for a city or lat/lon — daily high/low, precipitation, wind, conditions. Use for "what's the weather this week / will it rain". Args: city: city name (geocoded). lat/lon: alternative. days: 1-16 (default 7).
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  • NO AUTH / PUBLIC / READ-ONLY. Resolves one shared parameter preset for a dataset, returning native variables and expressions to use in /timeseries or /runs request bodies. This tool does not execute the request, query weather values, or return forecast data.
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  • Get a multi-day weather forecast for any Swiss location. Returns daily summaries with temperature, precipitation, and weather icons. This uses official MeteoSwiss Open Data — the same forecasts powering the MeteoSwiss app and website. Accepts: - Postal codes: "8001" (Zurich), "3000" (Bern), "1200" (Geneva) - Station abbreviations: "ZUE" (Zurich Fluntern), "BER" (Bern) - Place names: "Zurich", "Basel", "Lugano" Coverage: ~6000 Swiss locations (all postal codes + weather stations + mountain points). Forecast horizon: up to 9 days. Updated hourly.
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  • Marine weather forecast for a coastal or ocean coordinate: wave height, wave period, wave direction, wind-wave height, swell height, sea-surface temperature. Forecast horizon up to 7 days. Returns per-timestamp records — each entry contains a "time" field plus one key per requested variable. Best for open-ocean and coastal exposed points — sheltered inland waters return near-zero wave values. Common hourly variables: wave_height, wave_direction, wave_period, wind_wave_height, wind_wave_direction, wind_wave_period, swell_wave_height, swell_wave_direction, swell_wave_period. Common daily: wave_height_max, wave_direction_dominant, wave_period_max. Note: ocean_current_velocity is null for non-open-ocean coordinates.
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