Weather MCP Server

MCP server that gives Claude live weather, climate, terrain, and hazard data for any location on Earth.

Freemium· Free tier: 50 daily calls, standard polygon size. Paid plans: higher quotas and larger polygon analysis areas (contact / registration required for higher tiers).Agents

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Best for

Agronomists, insurance and real-estate analysts, climate researchers, and environmental consultants who want Claude or other MCP agents to answer location-specific weather, hazard, and terrain questions grounded in authoritative datasets.

Skip if

Teams needing raw high-frequency sensor feeds, offline or self-hosted deployments, or a general-purpose REST weather API for non-agent web and mobile apps.

Weather MCP Server is a Model Context Protocol (MCP) server from PixelGust that plugs live environmental, climate, terrain, and hazard data directly into Claude Desktop and other MCP-compatible AI assistants. Instead of relying on an LLM's stale training data, an agent can call structured tools to fetch current conditions, seven-day forecasts, decade-long climate normals, and risk indices for any coordinate or polygon on Earth. Under the hood it aggregates authoritative datasets: NOAA GFS nowcasts and forecasts, ERA5 reanalysis, the Copernicus DEM for terrain, MODIS evapotranspiration, ESA WorldCover land cover, SoilGrids soil profiles, and the Canadian Fire Weather Index computed daily. The server exposes nine focused tools covering current weather, forecast horizons, climate averages, elevation and slope mapping, fire and flood susceptibility, erosion risk, vegetation health, and proximity to nearest cities, airports, or hospitals. It is delivered as an HTTP streamable endpoint at pixelgust.com/mcp so it drops into a Claude Desktop config in seconds; no self-hosting or Python environment required. Typical users are agronomists picking planting windows, real-estate and insurance analysts assessing site-specific hazard exposure, climate researchers pulling reanalysis series into conversational workflows, and environmental consultants generating due-diligence briefs. Free-tier registration yields an API key and 50 calls per day, enough for exploration and light day-to-day agent use; paid plans unlock higher call quotas and larger area-of-interest polygons for production pipelines.

Editor's take

A refreshingly focused MCP server: rather than reinventing OpenWeather, PixelGust wires up the datasets that actually matter for risk and agronomy work and exposes them as agent tools with sensible schemas. The free tier is enough to see whether it fits your workflow, and the polygon support is a real differentiator. Just budget for a paid plan the moment an agent starts iterating.

— The AI Tool Bible editorial team

Pros

✅ Aggregates authoritative geospatial sources (NOAA GFS, ERA5, Copernicus DEM, MODIS, ESA WorldCover, SoilGrids, Canadian FWI) behind one MCP interface
✅ Nine well-scoped tools cover current, forecast, climatology, terrain, hazard, vegetation, and proximity queries
✅ HTTP streamable MCP endpoint installs into Claude Desktop with a few lines of config, no local server required
✅ Free tier with 50 daily calls is generous enough for experimentation and light agent workflows
✅ Supports polygon-based area analysis, not just point queries, which is unusual for weather APIs
✅ Purpose-built for AI agents rather than a REST API bolted onto MCP, so tool schemas are LLM-friendly

Cons

⚠️ Closed-source hosted service, so users cannot self-host or audit the aggregation logic
⚠️ Free tier's 50 calls per day is quickly exhausted by an agent making multi-step reasoning loops
⚠️ Locked to MCP-compatible clients (Claude Desktop, Cline, etc.) with no plain REST fallback advertised
⚠️ Pricing above the free tier is not publicly itemized, making budget planning awkward
⚠️ Data cadence depends on upstream providers, so 'live' means as fresh as GFS or ERA5 permit, not real-time sensor feeds

Use cases

Site-specific fire risk assessmentFlood susceptibility screeningCrop planting window analysisReal estate climate due diligenceInsurance underwriting geospatial checksHistorical climate trend queriesTerrain and slope analysis for constructionVegetation health monitoringProximity checks to hospitals or airportsEnvironmental impact report drafting