mcp

Weather, climate, terrain, fire and flood risk data for any point or polygon on Earth. Free tier.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
83%
Vollständigkeit des Schemas
99%
Qualität der Benennung
100%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Befunde (3)

  • LOWTool 'get_terrain' description lacks action verbin get_terrain
  • LOWTool 'get_hazards' description lacks action verbin get_hazards
  • LOWTool 'get_proximity' description lacks action verbin get_proximity

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~1,281Tokens (Tool-Definitionen)
~917 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (1.00% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "mcp": {
      "url": "https://pixelgust.com/mcp"
    }
  }
}

Remote-Endpunkte

https://pixelgust.com/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (9)

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🟢get_current_weather(lat, lon)

Current weather conditions for a point: temperature, humidity, dewpoint, wind speed and direction, precipitation, pressure, cloud cover, solar radiation, plus terrain, land cover, NDVI, population density, and soil context. Source: NOAA GFS 0.25 degree, updated every 6 hours.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "lat": {
      "type": "number",
      "minimum": -90,
      "maximum": 90,
      "description": "Latitude in decimal degrees"
    },
    "lon": {
      "type": "number",
      "minimum": -180,
      "maximum": 180,
      "description": "Longitude in decimal degrees"
    }
  },
  "required": [
    "lat",
    "lon"
  ]
}
🟢get_weather_forecast(lat, lon, day)

Daily weather forecast for a point, up to 7 days ahead. day=0 is today, day=6 is six days out. Returns daily mean, min, and max per variable.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "lat": {
      "type": "number",
      "minimum": -90,
      "maximum": 90,
      "description": "Latitude in decimal degrees"
    },
    "lon": {
      "type": "number",
      "minimum": -180,
      "maximum": 180,
      "description": "Longitude in decimal degrees"
    },
    "day": {
      "type": "integer",
      "minimum": 0,
      "maximum": 6,
      "default": 0,
      "description": "Forecast day: 0=today .. 6"
    }
  },
  "required": [
    "lat",
    "lon"
  ]
}
🟢get_historical_climate(lat, lon, month)

10-year historical climate averages (2015-2025, ERA5 reanalysis) for a point. Omit month for the annual average, or pass month 1-12 for that month's climatology with min and max ranges. Use this for questions about typical climate, growing seasons, or what weather to expect at a location and time of year.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "lat": {
      "type": "number",
      "minimum": -90,
      "maximum": 90,
      "description": "Latitude in decimal degrees"
    },
    "lon": {
      "type": "number",
      "minimum": -180,
      "maximum": 180,
      "description": "Longitude in decimal degrees"
    },
    "month": {
      "type": "integer",
      "minimum": 1,
      "maximum": 12,
      "description": "Optional month 1-12; omit for annual average"
    }
  },
  "required": [
    "lat",
    "lon"
  ]
}
🟢get_climate_timeseries(lat, lon, variable)

Monthly time series 2015-2025 (about 130 monthly values) for one variable at a point, plus the 12-month climatology. Variables: temperature_c, precipitation_mm, dewpoint_c, skin_temperature_c, surface_pressure_hpa, snowfall_cm, total_evaporation_mm, soil_water_layer_1_vol, wind_speed_ms, net_solar_radiation_mj_m2, relative_humidity_pct, cloud_cover_pct, ndvi, fire_weather_index. Use for trend questions (is it getting hotter or drier here?).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "lat": {
      "type": "number",
      "minimum": -90,
      "maximum": 90,
      "description": "Latitude in decimal degrees"
    },
    "lon": {
      "type": "number",
      "minimum": -180,
      "maximum": 180,
      "description": "Longitude in decimal degrees"
    },
    "variable": {
      "type": "string",
      "description": "Variable name from the list in the tool description"
    }
  },
  "required": [
    "lat",
    "lon",
    "variable"
  ]
}
🟢get_terrain(lat, lon)

Terrain for a point: elevation, slope, and aspect at 30m resolution (Copernicus DEM), plus Topographic Wetness Index (flood susceptibility indicator).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "lat": {
      "type": "number",
      "minimum": -90,
      "maximum": 90,
      "description": "Latitude in decimal degrees"
    },
    "lon": {
      "type": "number",
      "minimum": -180,
      "maximum": 180,
      "description": "Longitude in decimal degrees"
    }
  },
  "required": [
    "lat",
    "lon"
  ]
}
🟢get_hazards(lat, lon)

Natural hazard indices for a point: Fire Weather Index (current danger), soil erosion risk (RUSLE, t/ha/yr), and flood susceptibility (Topographic Wetness Index).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "lat": {
      "type": "number",
      "minimum": -90,
      "maximum": 90,
      "description": "Latitude in decimal degrees"
    },
    "lon": {
      "type": "number",
      "minimum": -180,
      "maximum": 180,
      "description": "Longitude in decimal degrees"
    }
  },
  "required": [
    "lat",
    "lon"
  ]
}
🟢get_environment(lat, lon)

Environmental data for a point: NDVI vegetation index (300m), annual evapotranspiration (MODIS), and ESA WorldCover land cover class.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "lat": {
      "type": "number",
      "minimum": -90,
      "maximum": 90,
      "description": "Latitude in decimal degrees"
    },
    "lon": {
      "type": "number",
      "minimum": -180,
      "maximum": 180,
      "description": "Longitude in decimal degrees"
    }
  },
  "required": [
    "lat",
    "lon"
  ]
}
🟢get_proximity(lat, lon)

Distances in km from a point to the nearest city, airport, port, hospital, power plant, and other key infrastructure.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "lat": {
      "type": "number",
      "minimum": -90,
      "maximum": 90,
      "description": "Latitude in decimal degrees"
    },
    "lon": {
      "type": "number",
      "minimum": -180,
      "maximum": 180,
      "description": "Longitude in decimal degrees"
    }
  },
  "required": [
    "lat",
    "lon"
  ]
}
🟢get_polygon_stats(coordinates, mode, month)

Aggregate statistics (mean, min, max, std) over a polygon area: weather, terrain, hazards, environment, soil, and population. Coordinates are [longitude, latitude] pairs forming a ring. Maximum area depends on plan (free tier: 100 km2). Use for area questions such as average slope of a farm or population inside a zone.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "coordinates": {
      "type": "array",
      "items": {
        "type": "array",
        "items": {
          "type": "number"
        },
        "minItems": 2,
        "maxItems": 2
      },
      "minItems": 3,
      "description": "[[lon, lat], ...] polygon ring (closed or open)"
    },
    "mode": {
      "type": "string",
      "enum": [
        "nowcast",
        "forecast",
        "historical"
      ],
      "default": "nowcast"
    },
    "month": {
      "type": "integer",
      "minimum": 1,
      "maximum": 12,
      "description": "Month for historical mode"
    }
  },
  "required": [
    "coordinates"
  ]
}

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