WeatherXM FACT — Forecast Accuracy & Ground-Truth Verification
by FastDrop
Scores 45 NWP & AI weather models (ECMWF, GFS, ICON, meteoblue, MOSAIC) against 8,927 stations.
Scores 45 NWP & AI weather models (ECMWF, GFS, ICON, meteoblue, MOSAIC) against 8,927 stations. Official MCP Registry: com.weatherxm.fact/mcp@2.1.0. Remote endpoint: https://fact.weatherxm.com/mcp
Problem it solves
Discoverable MCP server listed in the official MCP Registry.
How it's different
Remote MCP endpoint ingested from the official registry and probed by FastDrop.
Ingested from the official MCP Registry
FastDrop pulled this entry from the official MCP Registry as com.weatherxm.fact/mcp and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed
and the description is not theirs.
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Claim this listingTools this endpoint exposes
Read directly from the endpoint on 5 Nov 2026. Not supplied by the maker.
get_best_forecast_modelFind which weather forecast model had the lowest verified historical error (MAE) for a latitude/longitude coordinate (or station_or_report_id), weather variable (temperature, wind_speed, precipitation
check_ground_truth_coverageCheck historical WeatherXM FACT ground-station publication coverage for any coordinate (H3 Res-7 cell, ~5.2 km²) or station_or_report_id, plus nearest evaluated reference cell distance and interactive
get_fact_leaderboardRead the global weather forecast accuracy leaderboard (MAE, RMSE, and categorical rain skill HSS, POD, FAR, CSI across lead days 0..7) or country-level published H3 cell-win summaries across all 45 fo
get_model_head_to_headCompare up to 10 weather forecast models head-to-head across lead days 0 to 7 on global historical error curves, with explicit cohort and station-commissioned (mLM) caveats. All 45 FACT models: Weathe
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