# Xweather Renewable MCP for AI Agents AI Agent Connect

> Xweather Renewable MCP gives your AI agent direct access to professional weather intelligence and renewable energy farm data from the Vaisala Xweather API. It lets your agent pull real-time conditions, 15-day forecasts, and solar or wind measurements for site assessments and production planning.

## Overview
- **Category:** the-unthinkable
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/undefined/ai-agent-connect
- **Tags:** meteorology, renewable-energy, solar-irradiance, wind-measurement, forecast-data, environmental-intelligence

## Description

Imagine you're trying to figure out if a specific plot of land in Nevada is actually viable for a new solar farm. Usually, that means digging through different weather archives, checking regional wind patterns, and trying to guess how much power a site might actually pump out during a storm. This Connector changes that by putting professional-grade weather data right into your AI's hands. Instead of manual data gathering, your agent can pull specific solar irradiance measurements, check wind gust speeds for turbine siting, or look up historical observations to validate your models. It's about getting the right numbers for your energy yield calculations without the headache of switching between tabs. If you're already using the Vinkius catalog to manage your tools, this is the one you grab when you need to move from guessing to knowing about renewable energy production. It handles everything from severe weather alerts to detailed 15-day outlooks, making it a powerhouse for anyone building out the grid or trading energy.

## Tools

### get_weather_alerts
Get weather alerts and advisories for a location. Use this to protect renewable energy assets during severe weather events.

### get_historical_observations
Get historical weather observations for a location. Use this to validate renewable energy production models.

### get_weather_observations
Get recent weather observations for a location. This shows actual observed data from nearby weather stations.

### get_weather_forecast
Get a weather forecast for a location for up to 15 days. This is essential for renewable energy production planning.

### get_solar_irradiance_data
Get historical solar irradiance data for renewable energy assessment. This is critical for solar PV site assessment.

### get_weather_summary
Get a weather conditions summary for a location. This provides a quick overview for general weather awareness.

### get_wind_data
Get wind speed and direction data for renewable energy assessment. Use this for wind farm site assessment and analysis.

### get_closest_weather_station
Find the closest weather station to geographic coordinates. It returns station details and current conditions.

### get_current_conditions
Get current weather conditions for a location using a city name, coordinates, or station ID.

### get_renewable_energy_farm_data
Get renewable energy farm power output and production data. This includes hourly forecasts up to 10 days ahead.

### get_extended_forecast
Get an extended 15-day weather forecast with day and night periods. This is useful for long-term maintenance planning.

### search_locations
Search for places by name or query. This returns coordinates and station metadata needed for other data queries.

## Prompt Examples

**Prompt:** 
```
What's the wind speed like in West Texas right now for a wind farm?
```

**Response:** 
```
Checking current conditions in West Texas...

**Current Wind Data:**
* **Speed:** 14 mph
* **Direction:** Southwest
* **Gusts:** 22 mph

Conditions are currently within the standard operating range for most turbines, but keep an eye on those gusts if they increase.
```

**Prompt:** 
```
Can you give me a 10-day production forecast for a solar farm in Arizona?
```

**Response:** 
```
Fetching energy farm data for Arizona...

**Estimated Production Forecast:**
| Day | Estimated Output | Weather Outlook |
|---|---|---|
| Day 1 | 450 MWh | Clear Skies |
| Day 2 | 465 MWh | Sunny |
| Day 3 | 440 MWh | Partly Cloudy |
| Day 4 | 480 MWh | Clear Skies |

Production looks strong for the next 4 days with high irradiance expected.
```

**Prompt:** 
```
Is there any severe weather coming that might affect my solar assets in Florida?
```

**Response:** 
```
Monitoring severe weather alerts for Florida...

**Alerts Found:**
* **Type:** Severe Thunderstorm Warning
* **Area:** Southeast Florida
* **Severity:** High
* **Details:** Heavy rain and lightning expected within the next 2 hours.

I recommend checking your site status for the southeast region immediately.
```

## Capabilities

### Pull real-time weather data
Get current temperature, humidity, and wind conditions for any global location.

### Fetch 15-day weather forecasts
Access detailed daily and nightly weather outlooks for long-term planning.

### Retrieve solar irradiance for PV sites
Get historical solar measurements like GHI, DNI, and DHI for site assessments.

### Get wind speed and direction for turbines
Access detailed wind measurements including gusts for wind farm evaluations.

### Access farm power output estimates
Get estimated and forecasted power output for wind and solar sites in the US and Canada.

### Monitor for severe weather alerts
Track weather warnings to protect renewable energy assets from extreme events.

### Query historical weather records
Retrieve archived weather data for model validation and trend analysis.

## Use Cases

### Solar Site Selection
A solar developer asks the agent to compare solar irradiance across three different regions to pick the best site for a new PV farm using get_solar_irradiance_data.

### Maintenance Planning
A farm manager wants to know if a 15-day weather outlook suggests a good window for turbine repairs using get_extended_forecast.

### Risk Management
An asset manager asks for severe weather alerts in a specific area to ensure the wind farm is prepared for high winds using get_weather_alerts.

### Model Validation
A researcher wants to compare their production model against actual historical observations from a specific station using get_historical_observations.

## Benefits

- Stop manual data entry by letting your AI pull solar irradiance data using get_solar_irradiance_data for faster site assessments.
- Improve production planning by using get_extended_forecast to see 15-day outlooks for maintenance scheduling.
- Protect infrastructure by monitoring severe weather alerts through get_weather_alerts to stay ahead of storms.
- Validate your energy models with high-quality historical weather patterns retrieved via get_historical_observations.
- Get precise turbine siting data by pulling wind speed and direction with get_wind_data instead of using general averages.
- Optimize energy trading with get_renewable_energy_farm_data to see real-time and 10-day power output estimates.

## How It Works

The bottom line is your AI becomes a weather analyst for renewable energy projects.

1. Subscribe to the Xweather Renewable MCP on the Vinkius marketplace.
2. Add your Xweather Client ID and Client Secret to your configuration.
3. Ask your AI client to pull specific weather or energy data for your project.

## Frequently Asked Questions

**Can the Xweather Renewable MCP help me choose a site for a new solar farm?**
Yes. It allows your agent to pull historical solar irradiance data for specific locations, helping you compare site viability and energy yield before you commit to a location.

**Does this tool provide actual power output for wind farms?**
It provides estimated and forecasted power output for wind and solar sites in the US and Canada, which is great for production planning.

**How do I get historical weather data for model validation?**
The Connector can query archived weather observations for any location, letting you compare your production models against real historical patterns.

**Can I use this to monitor for severe weather warnings?**
Yes. You can have your agent monitor for severe weather alerts in real-time to help protect your renewable energy infrastructure from damage.

**What kind of wind data does the Xweather Renewable MCP provide?**
It provides detailed wind speed, direction, and gust measurements, which are essential for evaluating turbine performance and farm siting.

**Is this suitable for energy trading models?**
It is highly suitable. It provides the 10-day production forecasts and real-time weather data that traders need to make informed decisions.

**What weather and renewable energy data is available through the Xweather API?**
The Xweather API provides: current conditions (temperature, humidity, wind, pressure, solar radiation), forecasts up to 15 days, historical weather observations, solar irradiance data (GHI, DNI, DHI) for PV assessment, wind speed/direction measurements, renewable energy farm power output data for US/Canada sites, weather alerts and advisories, and location search capabilities.

**How do I get Xweather API credentials (Client ID and Client Secret)?**
Visit https://www.xweather.com/ and sign up for an Xweather Flex subscription. Once your account is provisioned, navigate to your developer dashboard to create an application and obtain your Client ID and Client Secret. These credentials authenticate your API requests and are tied to your subscription plan. The Renewables Add-on is required for energy farm data access.

**What location formats are supported for weather queries?**
The API accepts multiple location formats: city names (e.g., 'Chicago,IL'), latitude/longitude coordinates (e.g., '41.88,-87.63'), weather station IDs, postal codes, and ICAO airport codes. You can also use the searchPlaces tool to find valid location identifiers or the getClosestStation tool to find the nearest weather station to any coordinates.

**How far ahead can the Xweather forecast predict?**
Xweather provides detailed weather forecasts up to 15 days ahead. Short-term forecasts (1-7 days) are the most accurate, with gradually decreasing accuracy for longer horizons. The forecast includes temperature, weather conditions, wind, precipitation, and solar radiation data — all essential for renewable energy production planning.