mcp

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

Community: Submitted by a user or imported; check the owner before granting accessOnlineNo sign-inGlobalFreeRead-only

What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

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

    How to connect

    How to connect mcp to Claude

    The server address to paste into Claude settings:

    https://pixelgust.com/mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect mcp to ChatGPT

    The server address to paste into ChatGPT settings:

    https://pixelgust.com/mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect mcp to Cursor

    The server address to paste into Cursor settings:

    https://pixelgust.com/mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (9)

    Raw names from tools/list. Only developers need these.

    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 context. Source: NOAA GFS 0.25 degree, updated every 6 hours.
    get_weather_forecastDaily 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.
    get_historical_climate10-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.
    get_climate_timeseriesMonthly 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?).
    get_terrainTerrain for a point: elevation, slope, and aspect at 30m 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 (300m), annual evapotranspiration (MODIS), and ESA WorldCover land cover class.
    get_proximityDistances in km from a point to the nearest city, airport, port, hospital, power plant, and other key infrastructure.
    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 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.