# Open-Meteo Full Access MCP > Open-Meteo Full Access delivers comprehensive weather and climate intelligence in one place. Use this MCP to run forecasts, check historical records spanning 84 years, model ocean currents, assess air quality pollutants, or project flood risk up to 2100. It's the single source for environmental data. ## Overview - **Category:** the-unthinkable - **Price:** Free - **Tags:** weather-api, climate-data, ocean-intelligence, historical-weather, environmental-data, geocoding ## Description You don't need seven different services just to understand the weather. This MCP centralizes every major climate factor into one connection point. Instead of switching between separate APIs for air quality, historical records, and ocean conditions, your agent calls this service once. It gives you current forecasts for any spot, but it also lets you look deep into time: check 84 years of archived weather or model how river discharge might change over the next seven months. Whether you're planning a yacht trip or building a climate risk assessment for real estate, everything—from global geocoding to pollen counts—is available through your AI client via Vinkius. ## Tools ### get_weather_forecast Retrieves a standard weather forecast for any given location over the next 16 days. ### get_climate_projection Accesses IPCC model data to show expected climate changes between 2015 and 2100. ### get_ensemble_forecast Generates a multi-model probabilistic forecast, showing the range of possible weather outcomes. ### get_river_discharge Provides river discharge data at 5km resolution for flood risk assessment. ### get_flood_forecast Issues a detailed flood forecast, projecting water levels up to seven months in advance. ### search_location Searches global databases to pinpoint specific cities and coordinates for any query. ### get_elevation Determines the terrain elevation (altitude) at precise geographical coordinates. ### get_current_weather Retrieves the real-time, current weather conditions for a specified location. ### get_historical_weather Pulls comprehensive hourly weather data covering an 84-year period (1940–present). ### get_historical_daily Retrieves summarized daily aggregates of historical weather metrics. ### get_marine_forecast Generates a detailed marine wave forecast, including swell height and period at 5km resolution. ### get_ocean_currents Provides data on ocean currents and sea surface temperature across the water body. ### get_air_quality Calculates concentrations of various pollutants, including PM2.5, Ozone, and Nitrogen Dioxide. ### get_aqi_index Provides the Air Quality Index using both European and US standard metrics. ### get_pollen_forecast Delivers a specific forecast for pollen counts and general allergen levels. ## Prompt Examples **Prompt:** ``` Full weather briefing for a yacht trip from Lisbon to Madeira next week ``` **Response:** ``` ⛵ **Lisbon → Madeira Full Briefing** 🌤️ Forecast: 22-25°C, partly cloudy, light rain Day 3 🌊 Waves: 1.5-2.2m, SW swell, period 10s 💨 Air Quality: AQI 35 (Good) both endpoints 🏞️ Elevation: Departure 0m → Arrival 0m (sea level) 📍 Route: 38.72°N → 32.65°N (978km) Favorable conditions overall. Day 3 requires attention. ``` **Prompt:** ``` Climate risk assessment for a new data center in Singapore ``` **Response:** ``` 🏢 **Singapore — Climate Risk Assessment** 🌡️ Current avg: 27.5°C → 2060 projected: 29.8°C 🌊 Flood risk: Moderate (river discharge 45 m³/s, seasonal peaks) 💨 Air quality: AQI varies 30-150 (haze season Sep-Oct) 🌧️ Historical rain: avg 2,340mm/year, increasing trend Key risks: Rising cooling costs, seasonal haze, flash flood exposure. ``` **Prompt:** ``` What was the weather like on the day I was born? July 15, 1990 in Rome ``` **Response:** ``` 🎂 **Rome — July 15, 1990** Max temp: 34.2°C | Min: 21.8°C Sunshine: 13.5 hours Precipitation: 0mm (perfectly dry) Wind: 8 km/h from the south You were born on a beautiful, hot Roman summer day! ☀️ ``` ## Capabilities ### Predicting Future Climate Risk Model long-term environmental impacts by accessing IPCC climate projections and ensemble multi-model forecasts. ### Assessing Environmental Safety Get immediate data on air pollutants (PM2.5, Ozone) alongside pollen counts for health planning. ### Analyzing Historical Trends Pull hourly weather archives dating back to 1940 to identify long-term patterns and anomalies. ### Mapping Coastal Dynamics Track sea surface temperatures, wave heights, and deep ocean currents for maritime planning. ### Calculating Flood Vulnerability Determine potential flood risk by retrieving river discharge data with both historical reanalysis and forward projections. ## Use Cases ### Planning an international research expedition The agent needs to know the best time window. It uses get_historical_weather for a baseline, then checks get_aqi_index and get_pollen_forecast to confirm the air is safe, finally using get_elevation to map out altitude changes over the intended route. ### Assessing infrastructure vulnerability An engineer needs to check if a proposed coastal highway site can handle rising water levels. The agent uses get_flood_forecast and gets_ocean_currents to model potential long-term impacts based on current geography. ### Analyzing crop yield patterns A farmer wants to know which years were ideal. They use get_historical_daily to aggregate temperature and rainfall data over decades, allowing them to compare past success against future predictions from get_climate_projection. ### Modeling yacht routes The agent builds a full briefing for a trip by combining the 16-day weather forecast (get_weather_forecast) with real-time marine data using get_marine_forecast and checking the local air safety status. ## Benefits - Historical data depth: Use get_historical_weather to check conditions from 1940. You can track how seasonal patterns have shifted over eight decades. - Future-proofing decisions: Run climate risk scenarios by calling get_climate_projection, which maps out environmental changes right up through the year 2100. - Maritime planning: Consolidate your trip data using get_marine_forecast and get_ocean_currents. You'll know about waves and deep currents in one place. - Safety assessment: Combine air quality readings via get_air_quality with the specific pollen forecast to give users a full health picture for any location. - Comprehensive coverage: Instead of multiple tools, this MCP uses search_location first, then feeds coordinates into other tools like get_elevation or get_current_weather. ## How It Works The bottom line is that it gives your agent one endpoint to access every piece of environmental context imaginable. 1. First, specify the exact location and scope of the required environmental data (e.g., 'Singapore' for air quality or 'Mediterranean' for wave height). 2. Next, your agent selects the specific climate dimension needed—this could be current conditions, 16-day forecasts, or 84 years of historical weather. 3. Finally, you get a synthesized, actionable data packet covering all required metrics, allowing immediate insight without manual cross-referencing. ## Frequently Asked Questions **Does Open-Meteo Full Access MCP cover historical data for every metric?** Yes. You can access 84 years of hourly weather records using get_historical_weather, and also run specialized checks like get_historical_daily to aggregate specific metrics. **How far into the future can I predict climate change with Open-Meteo Full Access MCP?** The tool provides access to IPCC projections that model climate changes all the way up to the year 2100, giving you long-term data for risk assessment. **Can I get wave and current data together using Open-Meteo Full Access MCP?** Absolutely. Use get_marine_forecast to check wave heights alongside get_ocean_currents to understand the full dynamics of a body of water. **Is the flood risk prediction from Open-Meteo Full Access MCP reliable for construction?** The tool provides get_river_discharge data, which combines 40 years of reanalysis with seven months forward projection. This is designed specifically for assessing structural vulnerability. **What if I need to find coordinates before running any forecast on Open-Meteo Full Access MCP?** Start by using search_location. It finds global cities and points, which you can then feed into any other tool like get_current_weather or get_elevation.