open-meteo-advanced

Solid

Use when the user wants a specific weather model, needs ensemble uncertainty ranges, requests seasonal outlooks, or asks for long-term climate projections.

AI & Automation 63 stars 17 forks Updated yesterday MIT

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Skill Content

# Open-Meteo MCP — Advanced ## Overview Use this skill when: - The user asks for a **specific weather model** (ECMWF, GFS, DWD ICON, Météo-France, JMA, MET Norway, GEM) - The user wants to **compare models** (make parallel calls, one per model tool) - Forecasts **beyond 16 days** are needed - **Ensemble uncertainty** / confidence intervals are requested - A **seasonal outlook** (1–7 months) or **climate projection** (to 2050) is needed For everyday weather questions, use `open-meteo` instead. ## Model Selection Guide | Tool | Provider | Geographic Focus | Horizon | Best For | |------|----------|-----------------|---------|----------| | `ecmwf_forecast` | ECMWF IFS | Global | 15 days | Highest global accuracy | | `gfs_forecast` | NOAA GFS | Global | 16 days | Global, especially Americas | | `dwd_icon_forecast` | DWD ICON | **Europe only** | 2–7.5 days | High-res Europe | | `meteofrance_forecast` | Météo-France AROME/ARPEGE | France, DOM-TOM, Mediterranean/Europe | 2–4 days | France + nearby regions | | `jma_forecast` | JMA | Asia-Pacific | 4–11 days | Japan and Asia-Pacific | | `metno_forecast` | MET Norway | Nordic-primary (global extension via blending) | 2.5 days | Nordic region precision | | `gem_forecast` | Environment Canada GEM | North America | 2–10 days | Canada | | `ensemble_forecast` | Multi-model | Global | 35 days | Forecast uncertainty ranges | | `seasonal_forecast` | ECMWF SEAS5 | Global | up to 217 days | 1–7 month outlook | | `climate_projection` | CMIP6 ...

Details

Author
cmer81
Repository
cmer81/open-meteo-mcp
Created
1 years ago
Last Updated
yesterday
Language
TypeScript
License
MIT

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