PixelGust Environmental Data

Connect it to your AI

Claude Code

claude mcp add --transport http pixelgust https://pixelgust.com/mcp

Claude, ChatGPT, Cursor and other apps

Add it as a custom connector with this URL (Streamable HTTP):

https://pixelgust.com/mcp

This server expects extra headers, usually an API key from its maker.

Cursor, VS Code and other apps (mcp.json)

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

Tools it offers

9 tools, as the server itself reported during our check on Oct 31, 2026.

• get_current_weatherCurrent 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 conte
• get_weather_forecastDaily weather forecast for a point. day is 0-based: day 0 is the first forecast day, the day after the GFS run date (UTC), not today. forecast_dates in the response lists all available days (currently 6 or 7 depending on
• get_historical_climate10-year historical climate averages (2015-2024, ERA5 reanalysis) for a point. Pass month 1-12 for that month's climatology with min and max ranges: accumulations (precipitation, snowfall, evaporation, radiation) are then
• get_climate_timeseriesMonthly time series 2015-2025 (about 130 monthly values) for one variable at a point, plus the 12-month climatology. Accumulation variables are monthly totals: precipitation_mm and total_evaporation_mm in mm/month (evapo
• get_terrainTerrain for a point: elevation (m), slope and aspect (degrees) at 30 m resolution (Copernicus DEM), plus Topographic Wetness Index (flood susceptibility indicator).
• get_hazardsNatural hazard indices for a point: Fire Weather Index (current danger), soil erosion risk (RUSLE, t/ha/yr), and flood susceptibility (Topographic Wetness Index).
• get_environmentEnvironmental data for a point: NDVI vegetation index (300 m), annual evapotranspiration (MODIS, mm/year), and ESA WorldCover land cover class.
• get_proximityStraight-line distance in km from a point to the nearest feature of six layers: coastline, highway (motorway or trunk road), airport (large or medium), major port, hospital or clinic, and school. Each layer is returned w
• get_polygon_statsAggregate statistics (mean, min, max, std) over a polygon area: weather, terrain, hazards, environment, soil, and population. Coordinates are [longitude, latitude] pairs forming a simple ring (no self-intersections). Max

Questions