io.github.cyanheads/open-meteo-mcp-server

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Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.

Les 11 outils

• openmeteo_dataframe_describe≈ 896 tokens

  List the tables and their columns on a DataCanvas staged by openmeteo_get_forecast, openmeteo_get_historical, openmeteo_get_marine, openmeteo_get_air_quality, openmeteo_get_ensemble, openmeteo_get_flood, or openmeteo_get_climate. Call this first to discover table names before querying with openmeteo_dataframe_query.

  Paramètres, retour & exemple (1)

  Paramètres

  • canvas_id · string · requis
    Canvas ID returned by openmeteo_get_forecast, openmeteo_get_historical, openmeteo_get_marine, openmeteo_get_air_quality, openmeteo_get_ensemble, openmeteo_get_flood, or openmeteo_get_climate when truncated: true.

  Exemple d'appel

  {"name": "openmeteo_dataframe_describe", "arguments": {"canvas_id": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"error": {}, "tables": [], "canvas_id": "texte", "expires_at": "texte"}}

• openmeteo_dataframe_query≈ 1149 tokens

  Run a read-only SQL SELECT against tables staged on a DataCanvas by openmeteo_get_forecast, openmeteo_get_historical, openmeteo_get_marine, openmeteo_get_air_quality, openmeteo_get_ensemble, openmeteo_get_flood, or openmeteo_get_climate. Pass the canvas_id returned when any of those tools spills (truncated: true), and reference the exact table_name those tools return alongside it. Call openmeteo_dataframe_describe to list staged tables and their columns when you need to discover names. Returns up to 100 leading rows — fewer when wide rows would pass the 80,000-character inline ceiling — plus row_count — exact, or a lower bound flagged by count_error when counting fails or runs past 5 seconds; page the rest with LIMIT / OFFSET.

  Paramètres, retour & exemple (2)

  Paramètres

  • sql · string · requis
    Read-only SELECT statement. Reference table names from openmeteo_dataframe_describe. Example: SELECT AVG(temperature_2m) AS avg_temp, strftime(time, '%Y-%m') AS month FROM spilled_abc123 GROUP BY month ORDER BY month
  • canvas_id · string · requis
    Canvas ID returned by openmeteo_get_forecast, openmeteo_get_historical, openmeteo_get_marine, openmeteo_get_air_quality, openmeteo_get_ensemble, openmeteo_get_flood, or openmeteo_get_climate when truncated: true.

  Exemple d'appel

  {"name": "openmeteo_dataframe_query", "arguments": {"sql": "texte", "canvas_id": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"rows": [], "error": {}, "canvas_id": "texte", "row_count": 1, "count_error": "texte"}}

• openmeteo_get_air_quality≈ 2906 tokens

  Modeled CAMS (Copernicus Atmosphere Monitoring Service) air quality: PM2.5, PM10, nitrogen dioxide, sulphur dioxide, ozone, carbon monoxide, dust, pollen, and European/US AQI indices. This is modeled grid data, not measured station readings — for measured data, use openaq-mcp-server. Forecast horizon up to 7 days, with optional past_days (up to 92) for recent history — or start_date and end_date together for an archive range; the CAMS global archive begins in August 2022, and earlier dates return rows of nulls. One window per call: a date range is mutually exclusive with forecast_days and past_days, and needs both ends — a lone start_date or end_date is rejected. Common variables: pm2_5, pm10, carbon_monoxide, nitrogen_dioxide, sulphur_dioxide, ozone, dust, european_aqi, us_aqi, alder_pollen, birch_pollen, grass_pollen, mugwort_pollen, olive_pollen, ragweed_pollen. Pollen is modeled for Europe only, and only in pollen season — elsewhere the pollen values come back null, and the notice names them. Set current_variables for pollutant and AQI values at this instant — returned as a current object plus a current_units map, and enough on its own without hourly_variables; the block’s interval field is its aggregation interval in seconds (3600 on this endpoint). A wide window — a large past_days or date range plus many variables — produces thousands of records; these spill to a DataCanvas when canvas is enabled, returning canvas_id and table_name with truncated: true — inspect the staged columns with openmeteo_dataframe_describe, then query the full set with openmeteo_dataframe_query. With canvas disabled they return a bounded preview instead.

  Paramètres, retour & exemple (10)

  Paramètres

  • end_date · string · optionnel
    End date for the archive range (YYYY-MM-DD, inclusive). Must be on or after start_date. Requires start_date — the pair must be sent together, and neither combines with forecast_days or past_days.
  • latitude · number · requis
    Latitude in decimal degrees. Use openmeteo_search_locations to resolve a place name.
  • timezone · string · optionnel
    IANA timezone or "auto". Default "auto".
  • canvas_id · string · optionnel
    DataCanvas token for wide past_days, archive-range, or multi-variable queries. When a result is too large to return inline — driven by total payload size, so a wide multi-variable pull can spill at any row count — it spills to this canvas: pass the returned token to openmeteo_dataframe_describe to list the staged table and its columns, then to openmeteo_dataframe_query to run SQL against it. Omit to create a fresh canvas.
  • longitude · number · requis
    Longitude in decimal degrees.
  • past_days · integer · optionnel
    Include this many days of past data before today (0–92). Use for recent history instead of a start_date/end_date range. Default 0. Must stay 0 when start_date/end_date are used.
  • start_date · string · optionnel
    Start date for the archive range (YYYY-MM-DD, e.g., "2024-07-01"). The CAMS global archive begins in August 2022; earlier dates return rows of nulls, and us_aqi starts a day later than the pollutant series (european_aqi starts with it). Requires end_date — the pair must be sent together, and neither combines with forecast_days or past_days.
  • forecast_days · integer · optionnel
    Forecast horizon in days (1–7). Omit for the upstream default of 5. Mutually exclusive with start_date/end_date — omit it entirely when pulling an archive range.
  • hourly_variables · array · optionnel
    Hourly air quality variables (e.g., ["pm2_5", "pm10", "ozone", "nitrogen_dioxide", "european_aqi", "us_aqi"]). At least one of current_variables or hourly_variables is required.
  • current_variables · array · optionnel
    Air quality variables to return for the current instant (e.g., ["pm2_5", "pm10", "european_aqi", "us_aqi"]). Uses Open-Meteo's current-conditions data, so it answers "what is the AQI now?" without requesting an hourly series and picking a row; the returned interval is the block's aggregation interval, 3600 seconds on this endpoint. Satisfies the variable requirement on its own.

  Exemple d'appel

  {"name": "openmeteo_get_air_quality", "arguments": {"latitude": 1, "longitude": 1}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"error": {}, "hourly": [], "notice": "texte", "current": {}, "latitude": 1, "timezone": "texte", "canvas_id": "texte", "longitude": 1, "truncated": true, "table_name": "texte", "data_source": "texte", "hourly_units": {}}}

• openmeteo_get_climate≈ 2484 tokens

  Long-range climate projections from bias-corrected daily CMIP6 models, covering 1950-01-01 to 2050-12-31 at any coordinate. Answers "what will conditions look like through 2050?" — the future-projection counterpart to openmeteo_get_historical (the observed archive, what happened). Daily resolution only. Available models: CMCC_CM2_VHR4, FGOALS_f3_H, HiRAM_SIT_HR, MRI_AGCM3_2_S, EC_Earth3P_HR, MPI_ESM1_2_XR, NICAM16_8S. A model name outside that list is sent upstream rather than rejected here, so a model Open-Meteo adds later still works; if upstream rejects the request, the error names the offending model on its own rather than the whole requested list. With 2+ models each variable appears once per model with the model name as suffix (e.g. temperature_2m_max_CMCC_CM2_VHR4); a single or omitted model returns plain variable names. Not all models carry all variables — missing combinations return null. Multi-decade daily pulls across several models produce thousands of records and spill to a DataCanvas when canvas is enabled, returning canvas_id and table_name with truncated: true — inspect the staged columns with openmeteo_dataframe_describe, then query the full set with openmeteo_dataframe_query. With canvas disabled they return a bounded preview instead.

  Paramètres, retour & exemple (11)

  Paramètres

  • models · array · optionnel
    CMIP6 models to include: CMCC_CM2_VHR4, FGOALS_f3_H, HiRAM_SIT_HR, MRI_AGCM3_2_S, EC_Earth3P_HR, MPI_ESM1_2_XR, NICAM16_8S. With 2+ models each variable column is suffixed with the model name (e.g. temperature_2m_max_MRI_AGCM3_2_S). Omit to use the API default (a single model, unsuffixed columns). A name outside this list is sent upstream rather than rejected here.
  • end_date · string · requis
    End date (YYYY-MM-DD, inclusive, max 2050-12-31). Must be on or after start_date.
  • latitude · number · requis
    Latitude in decimal degrees. Use openmeteo_search_locations to resolve a place name to coordinates.
  • timezone · string · optionnel
    IANA timezone or "auto". Default "auto".
  • canvas_id · string · optionnel
    DataCanvas token for multi-decade or multi-model queries. When a result is too large to return inline — driven by total payload size, so a wide multi-model pull can spill at any row count — it spills to this canvas: pass the returned token to openmeteo_dataframe_describe to list the staged table and its per-model columns, then to openmeteo_dataframe_query to run SQL against it. Omit to create a fresh canvas.
  • longitude · number · requis
    Longitude in decimal degrees.
  • start_date · string · requis
    Start date (YYYY-MM-DD, e.g., "2049-01-01"). CMIP6 projections cover 1950-01-01 to 2050-12-31.
  • daily_variables · array · optionnel
    Daily climate variables to fetch (e.g., ["temperature_2m_max", "temperature_2m_min", "precipitation_sum", "wind_speed_10m_mean", "shortwave_radiation_sum"]). Required — the Climate API is daily-only.
  • wind_speed_unit · string · optionnel · kmh | mph | ms | kn
    Wind speed unit. Default "kmh".
  • temperature_unit · string · optionnel · celsius | fahrenheit
    Temperature unit. Default "celsius".
  • precipitation_unit · string · optionnel · mm | inch
    Precipitation unit. Default "mm".

  Exemple d'appel

  {"name": "openmeteo_get_climate", "arguments": {"end_date": "texte", "latitude": 1, "longitude": 1, "start_date": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"daily": [], "error": {}, "models": [], "notice": "texte", "latitude": 1, "timezone": "texte", "canvas_id": "texte", "elevation": 1, "longitude": 1, "truncated": true, "date_range": {}, "table_name": "texte"}}

• openmeteo_get_elevation≈ 777 tokens

  Terrain elevation from the Copernicus Digital Elevation Model (~90m resolution) for one or more coordinate pairs. Accepts up to 100 pairs per call. Useful for geographic context, elevation-adjusted weather interpretation, or route planning. A point the DEM has no value for (latitude 90) returns elevation_m null; the other points in the call are unaffected.

  Paramètres, retour & exemple (2)

  Paramètres

  • latitudes · array · requis
    Array of latitudes in decimal degrees (up to 100). Must be same length as longitudes.
  • longitudes · array · requis
    Array of longitudes in decimal degrees (up to 100). Must be same length as latitudes.

  Exemple d'appel

  {"name": "openmeteo_get_elevation", "arguments": {"latitudes": [], "longitudes": []}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"error": {}, "elevations": []}}

• openmeteo_get_ensemble≈ 3186 tokens

  Probabilistic ensemble weather forecast — up to 64 ensemble members, up to 35 days ahead with optional past_days (0–92). Most models end within 16 days; a model's columns are null past its horizon, and the response notice names where its data ends. Each member's values appear as separate columns named with a member suffix (e.g. temperature_2m_member01, temperature_2m_member02). Use the spread across members to compute exceedance probabilities, quantify forecast uncertainty, and build decision thresholds. Available models: ecmwf_ifs025_ensemble (51 members, global 0.25°), ecmwf_aifs025_ensemble (51, global 0.25°), ecmwf_ifs_europe_ensemble (51, Europe 9 km), ecmwf_aifs_europe_ensemble (51, Europe 31 km), google_weathernext2_ensemble (64, global 0.25°), ncep_gefs_seamless (31, global blend), ncep_gefs025 (31, global 0.25°), ncep_gefs05 (31, global 50 km, 35 days), ncep_aigefs025 (31, global 0.25°), icon_seamless_eps (20–40, global/Europe blend), icon_global_eps (40, global 26 km), icon_eu_eps (40, Europe 13 km), icon_d2_eps (20, Central Europe 2 km), gem_global_ensemble (21, global 0.25°), bom_access_global_ensemble (18, global 40 km), ukmo_global_ensemble_20km (18, global 20 km), ukmo_uk_ensemble_2km (3, UK 2 km), meteoswiss_icon_ch1_ensemble (11, Central Europe 1 km), meteoswiss_icon_ch2_ensemble (21, Central Europe 2 km). Omit models to use ecmwf_ifs025_ensemble. A regional model returns no data outside the area it covers; that comes back as an input error naming the coverage gap, not a transient failure, so pick a global model or move the coordinate inside the region rather than retrying. A model name this list does not carry is still sent upstream, so a newly added one keeps working. Large multi-member, multi-day pulls produce thousands of records and spill to a DataCanvas when canvas is enabled, returning canvas_id and table_name with truncated: true — inspect the staged columns with openmeteo_dataframe_describe, then query the full set with openmeteo_dataframe_query. With canvas disabled they return a bounded preview instead. At least one of hourly_variables or daily_variables is required.

  Paramètres, retour & exemple (12)

  Paramètres

  • models · string · optionnel
    Ensemble model to use, one name: ecmwf_ifs025_ensemble (51 members, global 0.25°), ecmwf_aifs025_ensemble (51, global 0.25°), ecmwf_ifs_europe_ensemble (51, Europe 9 km), ecmwf_aifs_europe_ensemble (51, Europe 31 km), google_weathernext2_ensemble (64, global 0.25°), ncep_gefs_seamless (31, global blend), ncep_gefs025 (31, global 0.25°), ncep_gefs05 (31, global 50 km, 35 days), ncep_aigefs025 (31, global 0.25°), icon_seamless_eps (20–40, global/Europe blend), icon_global_eps (40, global 26 km), icon_eu_eps (40, Europe 13 km), icon_d2_eps (20, Central Europe 2 km), gem_global_ensemble (21, global 0.25°), bom_access_global_ensemble (18, global 40 km), ukmo_global_ensemble_20km (18, global 20 km), ukmo_uk_ensemble_2km (3, UK 2 km), meteoswiss_icon_ch1_ensemble (11, Central Europe 1 km), meteoswiss_icon_ch2_ensemble (21, Central Europe 2 km). Member counts include the control run. Omit or leave blank to use ecmwf_ifs025_ensemble. A name outside this list is sent upstream rather than rejected here, so a model Open-Meteo adds later still works.
  • latitude · number · requis
    Latitude in decimal degrees. Use openmeteo_search_locations to resolve a place name to coordinates.
  • timezone · string · optionnel
    IANA timezone (e.g., "America/Los_Angeles") or "auto" to use the location's local timezone. Default "auto".
  • canvas_id · string · optionnel
    DataCanvas token for large multi-member queries. When a result is too large to return inline — driven by total payload size, so a wide member fan-out can spill at any row count — it spills to this canvas: pass the returned token to openmeteo_dataframe_describe to list the staged table and its per-member columns, then to openmeteo_dataframe_query to run SQL against it. Omit to create a fresh canvas.
  • longitude · number · requis
    Longitude in decimal degrees.
  • past_days · integer · optionnel
    Include this many days of past ensemble data before today (0–92). Default 0.
  • forecast_days · integer · optionnel
    Forecast horizon in days (1–35). Default 7. Most ensemble models end within 16 days; past a model's horizon its columns come back null and the response notice names where its data ends.
  • daily_variables · array · optionnel
    Daily variables to fetch across all ensemble members (e.g., ["temperature_2m_max", "temperature_2m_min", "precipitation_sum"]). Each variable appears as temperature_2m_max_member01, … Daily names only — an hourly name such as precipitation or temperature_2m belongs in hourly_variables and is rejected here; for a daily summary use its published aggregate (precipitation_sum, temperature_2m_max). At least one of hourly_variables or daily_variables required.
  • wind_speed_unit · string · optionnel · kmh | mph | ms | kn
    Wind speed unit. Default "kmh".
  • hourly_variables · array · optionnel
    Hourly variables to fetch across all ensemble members (e.g., ["temperature_2m", "precipitation", "wind_speed_10m"]). Each variable appears as temperature_2m_member01, temperature_2m_member02, … in the output. Hourly names only — a daily-only aggregate such as precipitation_sum or wind_speed_10m_max belongs in daily_variables and is rejected here; temperature_2m_max and temperature_2m_min are an exception, published here as 3-hourly aggregations as well as daily. At least one of hourly_variables or daily_variables required.
  • temperature_unit · string · optionnel · celsius | fahrenheit
    Temperature unit. Default "celsius".
  • precipitation_unit · string · optionnel · mm | inch
    Precipitation unit. Default "mm".

  Exemple d'appel

  {"name": "openmeteo_get_ensemble", "arguments": {"latitude": 1, "longitude": 1}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"daily": [], "error": {}, "model": "texte", "hourly": [], "notice": "texte", "latitude": 1, "timezone": "texte", "canvas_id": "texte", "elevation": 1, "longitude": 1, "truncated": true, "table_name": "texte"}}

• openmeteo_get_flood≈ 2484 tokens

  GloFAS (Global Flood Awareness System) river discharge forecast and historical reanalysis. Returns daily river discharge (m³/s) for the largest modeled river within 5 km of the given coordinates — no river ID needed. That river is not always the closest one: at 5 km resolution a point near a confluence or a pair of parallel channels can resolve to an unintended reach. When the returned discharge looks unrepresentative for the intended river, Open-Meteo suggests varying the coordinate by about 0.1° and comparing the values. Forecast horizon up to 210 days ahead; reanalysis history back to 1984-01-01. One mode per call: forecast_days for the future outlook, or start_date and end_date together for reanalysis history. The two modes are mutually exclusive, and a date range needs both ends — a lone start_date or end_date is rejected. Available daily variables: "river_discharge" (the daily discharge value; the mean across ensemble members is "river_discharge_mean"), and the ensemble statistics "river_discharge_mean", "river_discharge_median", "river_discharge_min", "river_discharge_max", "river_discharge_p25" (25th percentile), and "river_discharge_p75" (75th percentile). The statistics are computed across ensemble members in forecast mode only; in reanalysis mode they repeat river_discharge and are not uncertainty estimates. Returns null for coordinates far from any river or in areas without GloFAS coverage. A wide reanalysis range produces thousands of daily records and spills to a DataCanvas when canvas is enabled, returning canvas_id and table_name with truncated: true — inspect the staged columns with openmeteo_dataframe_describe, then query the full set with openmeteo_dataframe_query. With canvas disabled it returns a bounded preview instead.

  Paramètres, retour & exemple (8)

  Paramètres

  • end_date · string · optionnel
    End date for historical reanalysis (YYYY-MM-DD, inclusive). Must be on or after start_date. Requires start_date — the pair must be sent together, and neither combines with forecast_days.
  • latitude · number · requis
    Latitude in decimal degrees. Discharge is returned for the largest modeled river within 5 km of this point — no river ID required, and not necessarily the closest river. Vary the coordinate by about 0.1° and compare when the result looks unrepresentative. Use openmeteo_search_locations to resolve a place name.
  • timezone · string · optionnel
    IANA timezone or "auto". Default "auto".
  • canvas_id · string · optionnel
    DataCanvas token for wide reanalysis queries. When a result is too large to return inline — driven by total payload size, so a multi-variable pull can spill at any row count — it spills to this canvas: pass the returned token to openmeteo_dataframe_describe to list the staged table and its columns, then to openmeteo_dataframe_query to run SQL against it. Omit to create a fresh canvas.
  • longitude · number · requis
    Longitude in decimal degrees. With latitude it selects the largest modeled river within 5 km, which is not necessarily the closest one.
  • start_date · string · optionnel
    Start date for historical reanalysis (YYYY-MM-DD, e.g., "2023-01-01"). GloFAS reanalysis covers from 1984-01-01. Requires end_date — the pair must be sent together, and neither combines with forecast_days.
  • forecast_days · integer · optionnel
    Number of forecast days ahead (1–210). Mutually exclusive with start_date/end_date — omit it entirely when pulling a historical range.
  • daily_variables · array · optionnel
    Daily discharge variables to fetch (e.g., ["river_discharge", "river_discharge_p25", "river_discharge_p75", "river_discharge_min", "river_discharge_max"]). Required. river_discharge is the daily discharge value; the _mean, _median, _min, _max, _p25, and _p75 statistics span the ensemble members in forecast mode only — in reanalysis mode they repeat river_discharge and are not uncertainty estimates.

  Exemple d'appel

  {"name": "openmeteo_get_flood", "arguments": {"latitude": 1, "longitude": 1}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"daily": [], "error": {}, "notice": "texte", "latitude": 1, "timezone": "texte", "canvas_id": "texte", "longitude": 1, "truncated": true, "table_name": "texte", "daily_units": {}, "record_count": 1}}

• openmeteo_get_forecast≈ 3189 tokens

  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 the archive’s ERA5 components lag by up to ~5 days. 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. Set current_variables for conditions at this instant — Open-Meteo serves those from 15-minute model data, which is more precise than picking the nearest hourly row, and the response carries a current object plus a current_units map. A wide window — a large past_days plus many hourly variables — produces thousands of records; these spill to a DataCanvas when canvas is enabled, returning canvas_id and table_name with truncated: true — inspect the staged columns with openmeteo_dataframe_describe, then query the full set with openmeteo_dataframe_query. With canvas disabled they return a bounded preview instead. At least one of current_variables, hourly_variables, or daily_variables is required.

  Paramètres, retour & exemple (12)

  Paramètres

  • latitude · number · requis
    Latitude in decimal degrees (e.g., 47.6062 for Seattle). Use openmeteo_search_locations to resolve a place name to coordinates.
  • timezone · string · optionnel
    IANA timezone (e.g., "America/Los_Angeles") or "auto" to use the location's local timezone. Default "auto". The timezone from openmeteo_search_locations is ideal to pass here.
  • canvas_id · string · optionnel
    DataCanvas token for wide past_days or multi-variable queries. When a result is too large to return inline — driven by total payload size, so a wide multi-variable pull can spill at any row count — it spills to this canvas: pass the returned token to openmeteo_dataframe_describe to list the staged table and its columns, then to openmeteo_dataframe_query to run SQL against it. Omit to create a fresh canvas.
  • longitude · number · requis
    Longitude in decimal degrees (e.g., -122.3321 for Seattle).
  • past_days · integer · optionnel
    Include this many days of past data before today (0–92). Use for recent history — the archive’s ERA5 components lag by up to ~5 days. Default 0.
  • forecast_days · integer · optionnel
    Number of forecast days (1–16). Default 7.
  • daily_variables · array · optionnel
    Daily summary variables (e.g., ["temperature_2m_max", "temperature_2m_min", "precipitation_sum", "wind_speed_10m_max", "sunrise", "sunset", "uv_index_max"]). Daily names only — an hourly name such as cloud_cover or temperature_2m belongs in hourly_variables and is rejected here; for a daily summary of an hourly variable use its published aggregate (cloud_cover_max, cloud_cover_mean, cloud_cover_min). At least one of current_variables, hourly_variables, or daily_variables is required.
  • wind_speed_unit · string · optionnel · kmh | mph | ms | kn
    Wind speed unit: "kmh" (km/h), "mph", "ms" (m/s), or "kn" (knots). Default "kmh".
  • hourly_variables · array · optionnel
    Hourly variables to fetch (e.g., ["temperature_2m", "precipitation", "wind_speed_10m", "relative_humidity_2m", "cloud_cover", "uv_index", "apparent_temperature"]). Hourly names only — a daily aggregate such as temperature_2m_max or precipitation_sum belongs in daily_variables and is rejected here. At least one of current_variables, hourly_variables, or daily_variables is required.
  • temperature_unit · string · optionnel · celsius | fahrenheit
    Temperature unit. Default "celsius".
  • current_variables · array · optionnel
    Variables to return for the current instant (e.g., ["temperature_2m", "precipitation", "wind_speed_10m", "weather_code"]). Uses Open-Meteo's 15-minute current-conditions data, so it answers "what is it doing right now?" without requesting an hourly series and picking a row. Takes the hourly variable names; a daily-only name such as temperature_2m_max comes back null with the unit "undefined" and is reported in the notice. Satisfies the variable requirement on its own.
  • precipitation_unit · string · optionnel · mm | inch
    Precipitation unit: "mm" or "inch". Default "mm".

  Exemple d'appel

  {"name": "openmeteo_get_forecast", "arguments": {"latitude": 1, "longitude": 1}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"daily": [], "error": {}, "hourly": [], "notice": "texte", "current": {}, "latitude": 1, "timezone": "texte", "canvas_id": "texte", "elevation": 1, "longitude": 1, "truncated": true, "table_name": "texte"}}

• openmeteo_get_historical≈ 3114 tokens

  Historical weather from the Open-Meteo reanalysis archive (1940–present). Requires start_date and end_date (ISO 8601 date, e.g., "2024-07-01"). With models omitted the archive answers from Best Match, which blends IFS HRES, ERA5, and ERA5-Land seamlessly — so the source varies by date and no single update lag describes the response. Set models to pin a consistent source for a multi-decade series: the ERA5 family updates daily with about a 5-day delay, while IFS HRES has none, so for the last few days either request models: ["ecmwf_ifs"] or use openmeteo_get_forecast with past_days. Available models: best_match (default, blends IFS HRES + ERA5 + ERA5-Land), ecmwf_ifs (global 9 km, updated every 6 hours, no delay), ecmwf_ifs_analysis_long_window (global 9 km, daily, 2 days delay), era5_seamless (ERA5 and ERA5-Land combined), era5 (global 0.25° (~25 km), daily, 5 days delay), era5_land (global 0.1° (~11 km), daily, 5 days delay), era5_ensemble (global 0.5° (~55 km), daily, 5 days delay), cerra (Europe only, 5 km, no real-time updates). Uses the same variable names as the forecast API for direct comparison. Large date ranges (multi-year hourly) produce thousands of records — these spill to a DataCanvas when canvas is enabled, returning canvas_id and table_name with truncated: true; inspect the staged columns with openmeteo_dataframe_describe, then query the full set with openmeteo_dataframe_query. With canvas disabled they return a bounded preview instead. At least one of hourly_variables or daily_variables is required.

  Paramètres, retour & exemple (12)

  Paramètres

  • models · array · optionnel
    Archive models to read from: best_match (default, blends IFS HRES + ERA5 + ERA5-Land), ecmwf_ifs (global 9 km, updated every 6 hours, no delay), ecmwf_ifs_analysis_long_window (global 9 km, daily, 2 days delay), era5_seamless (ERA5 and ERA5-Land combined), era5 (global 0.25° (~25 km), daily, 5 days delay), era5_land (global 0.1° (~11 km), daily, 5 days delay), era5_ensemble (global 0.5° (~55 km), daily, 5 days delay), cerra (Europe only, 5 km, no real-time updates). Omit to use Open-Meteo's Best Match default, which blends IFS HRES, ERA5, and ERA5-Land — pin a model instead when a consistent source matters across the range. With 2+ models each variable column is suffixed with the model name. cerra covers Europe only and is rejected as a coverage gap elsewhere. A name outside this list is sent upstream rather than rejected here.
  • end_date · string · requis
    End date (YYYY-MM-DD, inclusive). Must be on or after start_date. For the last few days, either request models: ["ecmwf_ifs"] or use openmeteo_get_forecast with past_days.
  • latitude · number · requis
    Latitude in decimal degrees. Use openmeteo_search_locations to resolve a place name to coordinates.
  • timezone · string · optionnel
    IANA timezone or "auto". Default "auto".
  • canvas_id · string · optionnel
    DataCanvas token for multi-year or multi-variable queries. When a result is too large to return inline — driven by total payload size, so a wide multi-variable pull can spill at any row count — it spills to this canvas: pass the returned token to openmeteo_dataframe_describe to list the staged table and its columns, then to openmeteo_dataframe_query to run SQL against it. Omit to create a fresh canvas.
  • longitude · number · requis
    Longitude in decimal degrees.
  • start_date · string · requis
    Start date (YYYY-MM-DD, e.g., "2024-07-01"). The archive covers from 1940-01-01; how close to today it reaches depends on the model — the ERA5 family runs about 5 days behind, IFS HRES is current.
  • daily_variables · array · optionnel
    Daily summary variables (e.g., ["temperature_2m_max", "temperature_2m_min", "precipitation_sum", "wind_speed_10m_max"]). Daily names only — an hourly name such as cloud_cover or temperature_2m belongs in hourly_variables and is rejected here; for a daily summary of an hourly variable use its published aggregate (cloud_cover_max, cloud_cover_mean, cloud_cover_min). At least one of hourly_variables or daily_variables required.
  • wind_speed_unit · string · optionnel · kmh | mph | ms | kn
    Wind speed unit. Default "kmh".
  • hourly_variables · array · optionnel
    Hourly archive variables (e.g., ["temperature_2m", "precipitation", "wind_speed_10m", "relative_humidity_2m", "cloud_cover", "soil_moisture_0_to_7cm"]). Hourly names only — a daily aggregate such as temperature_2m_max or precipitation_sum belongs in daily_variables and is rejected here. At least one of hourly_variables or daily_variables required.
  • temperature_unit · string · optionnel · celsius | fahrenheit
    Temperature unit. Default "celsius".
  • precipitation_unit · string · optionnel · mm | inch
    Precipitation unit. Default "mm".

  Exemple d'appel

  {"name": "openmeteo_get_historical", "arguments": {"end_date": "texte", "latitude": 1, "longitude": 1, "start_date": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"daily": [], "error": {}, "hourly": [], "models": [], "notice": "texte", "latitude": 1, "timezone": "texte", "canvas_id": "texte", "elevation": 1, "longitude": 1, "truncated": true, "date_range": {}}}

• openmeteo_get_marine≈ 2806 tokens

  Marine wave and ocean conditions for a coastal or ocean coordinate: wave height, wave period, wave direction, wind-wave height, swell height, sea-surface temperature. Forecast horizon up to 8 days, with optional past_days (up to 92) for recent history — or start_date and end_date together for an archive range, which returns real wave values back to at least 2022. One window per call: a date range is mutually exclusive with forecast_days and past_days, and needs both ends — a lone start_date or end_date is rejected. 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 water such as a sound or bay returns near-zero wave values, and a land point returns null values, which the notice reports. 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. A wide window — a large past_days or date range plus many variables — produces thousands of records; these spill to a DataCanvas when canvas is enabled, returning canvas_id and table_name with truncated: true — inspect the staged columns with openmeteo_dataframe_describe, then query the full set with openmeteo_dataframe_query. With canvas disabled they return a bounded preview instead.

  Paramètres, retour & exemple (10)

  Paramètres

  • end_date · string · optionnel
    End date for the archive range (YYYY-MM-DD, inclusive). Must be on or after start_date. Requires start_date — the pair must be sent together, and neither combines with forecast_days or past_days.
  • latitude · number · requis
    Latitude of a coastal or ocean point. Use openmeteo_search_locations to resolve a place name. Sheltered water returns near-zero wave values; a land point returns null values, which the notice reports.
  • timezone · string · optionnel
    IANA timezone or "auto". Default "auto".
  • canvas_id · string · optionnel
    DataCanvas token for wide past_days, archive-range, or multi-variable queries. When a result is too large to return inline — driven by total payload size, so a wide multi-variable pull can spill at any row count — it spills to this canvas: pass the returned token to openmeteo_dataframe_describe to list the staged table and its columns, then to openmeteo_dataframe_query to run SQL against it. Omit to create a fresh canvas.
  • longitude · number · requis
    Longitude in decimal degrees.
  • past_days · integer · optionnel
    Include this many days of past data before today (0–92). Use for recent history instead of a start_date/end_date range. Default 0. Must stay 0 when start_date/end_date are used.
  • start_date · string · optionnel
    Start date for the archive range (YYYY-MM-DD, e.g., "2024-07-01"). Real wave values go back to at least 2022. Requires end_date — the pair must be sent together, and neither combines with forecast_days or past_days.
  • forecast_days · integer · optionnel
    Forecast horizon in days (1–8). Omit for the upstream default of 7. Mutually exclusive with start_date/end_date — omit it entirely when pulling an archive range.
  • daily_variables · array · optionnel
    Daily marine summary variables (e.g., ["wave_height_max", "wave_direction_dominant", "wave_period_max"]). Daily names only — an hourly name such as wave_height belongs in hourly_variables and is rejected here; for a daily summary use its published aggregate (wave_height_max). At least one of hourly_variables or daily_variables required.
  • hourly_variables · array · optionnel
    Hourly marine variables (e.g., ["wave_height", "wave_direction", "wave_period", "wind_wave_height", "swell_wave_height"]). Hourly names only — a daily aggregate such as wave_height_max or wave_direction_dominant belongs in daily_variables and is rejected here. At least one of hourly_variables or daily_variables required.

  Exemple d'appel

  {"name": "openmeteo_get_marine", "arguments": {"latitude": 1, "longitude": 1}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"daily": [], "error": {}, "hourly": [], "notice": "texte", "latitude": 1, "timezone": "texte", "canvas_id": "texte", "longitude": 1, "truncated": true, "table_name": "texte", "daily_units": {}, "hourly_units": {}}}

• openmeteo_search_locations≈ 1770 tokens

  Resolve a place name to ranked coordinate matches with country, region, elevation, timezone, and population. Required prerequisite for name-based queries — all weather tools take latitude/longitude, not place names. Search by a bare place name (city, region, or landmark); never fold a qualifier into it — pass "Baoding", not "Baoding Hebei", and "Paris", not "Paris, France". To disambiguate places that share a name, set the country input (ISO 3166-1 alpha-2, e.g. "US") and/or read the admin1 and country fields on each ranked result — admin1 is a result field for choosing among matches, not a search input. Returns up to 10 matches ranked by population/relevance.

  Paramètres, retour & exemple (4)

  Paramètres

  • name · string · requis
    Place name to search — a bare city, region, or landmark ("Seattle", "Mount Rainier"). Do not fold in a region or country qualifier ("Baoding", not "Baoding Hebei"); use the country input to disambiguate. A one- or two-character native-script name ("서울", "大阪") needs the full administrative name ("서울특별시", "大阪市") or the romanized name ("Seoul", "Osaka") — see the language field. Weather tools require coordinates — use the lat/lon from this result.
  • count · integer · optionnel
    Max results to return (1–10). Default 5. Return more when disambiguating common names like "Springfield" or "Portland".
  • country · string · optionnel
    ISO 3166-1 alpha-2 country code (e.g. "US", "FR") to disambiguate places that share a name. Omit for a global search.
  • language · string · optionnel
    Language for matching and returning place names (ISO 639-1, e.g., "en", "de", "zh"). The API matches name against the localized index for this language, so set it to match the script of name — e.g. language "zh" for "上海", "ru" for "Москва". This resolves a native-script name of three or more characters, which is matched by normalized prefix; a one- or two-character name must equal an index entry exactly, so setting language alone will not find "서울" or "大阪" — retry those with the full administrative name ("서울특별시", "大阪市") or the romanized name ("Seoul", "Osaka"). Default "en"; a query in a recognized non-Latin script (CJK, Hangul, Cyrillic, Arabic, Greek, Hebrew, Thai, Devanagari) that misses under "en" is retried once with the language inferred from its script, and effective_language on the response names that language when the retry supplied the results.

  Exemple d'appel

  {"name": "openmeteo_search_locations", "arguments": {"name": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"count": 1, "error": {}, "notice": "texte", "results": [], "effective_language": "texte"}}

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Source

https://open-meteo.caseyjhand.com/mcp