Show HN: An MCP server that gives AI assistants live weather and hazard data

PixelGust launched a public Model Context Protocol (MCP) server that gives AI assistants live weather, climate, terrain, and hazard data for any point on Earth, enabling tools like Claude and Cursor to answer location-based questions with current data instead of outdated training information. The server offers nine tools including fire weather index, flood susceptibility, and 10-year climate averages, with free-tier access at 50 calls per day and higher limits via an API key.

Weather MCP Server: Connect Claude to Live Weather, Climate & Hazard Data AI assistants are good at reasoning but blind to the present. Ask Claude about the current fire risk near a property and it can only answer from training data that ended months ago. The Model Context Protocol MCP fixes this: it is an open standard that lets AI assistants call live tools. PixelGust now runs a public MCP server, so any compatible assistant can pull real weather, climate, terrain, and hazard data for any point on Earth, mid-conversation. Server URL: https://pixelgust.com/mcp Streamable HTTP . Works with no signup at free-tier limits. Add it to Claude, Cursor, or any MCP client and start asking location questions. What You Can Ask Once connected, your assistant answers questions like these with live data instead of guesses: - "What is the fire risk in Athens versus Marseille right now?" - "Has this vineyard's location gotten drier over the last decade?" - "Compare the terrain, flood susceptibility, and soil of these two coordinates." - "What weather should I expect at 46.5, 11.3 in early September?" - "What is the average slope and population inside this polygon?" A real exchange from today, with the assistant calling the server twice and comparing: | Athens | Marseille | | |---|---|---| Fire Weather Index | 34.1 High | 30.5 High | | Temperature | 31.6°C | 26.6°C | | Relative humidity | 42% | 60% | | Wind | 3.5 m/s SW | 5.1 m/s S | The assistant concluded that both cities sit in the High danger class, with Athens closer to Very High because heat and dryness outweigh Marseille's stronger wind. That is the kind of grounded, current answer MCP makes possible. The Nine Tools get current weather : temperature, humidity, wind, precipitation, pressure, cloud cover, and solar radiation for a point NOAA GFS, updated every 6 hours get weather forecast : daily forecast up to 7 days ahead get historical climate : 10-year climate averages 2015-2025, ERA5 , annual or by month get climate timeseries : monthly values 2015-2025 for one variable, for trend analysis get terrain : elevation, slope, and aspect at 30m Copernicus DEM , plus wetness index get hazards : Fire Weather Index, soil erosion risk RUSLE , flood susceptibility TWI get environment : NDVI vegetation index, evapotranspiration, land cover class get proximity : distance to the nearest city, airport, port, hospital, and power plant get polygon stats : aggregate statistics over a custom polygon area How to Connect Claude Code claude mcp add --transport http pixelgust https://pixelgust.com/mcp Claude Desktop and claude.ai Settings → Connectors → Add custom connector → paste https://pixelgust.com/mcp . Cursor and other MCP clients Add a Streamable HTTP server with the same URL in your client's MCP configuration. Higher limits with an API key Keyless access uses free-tier limits 50 calls per day . For more, create a free account at pixelgust.com/app /app , generate an API key from the API Keys menu, and pass it as a header: claude mcp add --transport http pixelgust https://pixelgust.com/mcp \ --header "X-API-Key: pk your key" The key's plan applies automatically: paid tiers raise the daily quota and unlock larger polygon areas. See the API documentation /docs mcp for details. Give Your Assistant Real Environmental Data One URL. Nine tools. Any location on Earth. Free to start. Read the Docs /docs mcp Why This Matters Agents are becoming the way professionals interact with data. An agronomist asking an assistant to compare drought stress across fields, an analyst screening properties for climate risk /blog/climate-risk-real-estate , or a researcher pulling decade-long climate series /blog/historical-weather-data should not have to open a GIS suite or write API integration code first. With MCP, the assistant does the calling, and the human does the asking. Under the hood the server exposes the same data as the PixelGust REST API /blog/weather-api-free : NOAA GFS nowcasts and forecasts, ERA5 reanalysis, Copernicus DEM terrain, MODIS evapotranspiration, ESA WorldCover, SoilGrids, and the Canadian Fire Weather Index computed daily. Same sources, new interface.