Solcast Solar MCP. Predict PV output using precise site data.

Solcast gives your agent deep solar forecasting intel. You're connecting directly to high-resolution data that tracks everything affecting a PV system, from satellite cloud movement to historical radiation records.

Site Management and Quick Scopes

Need to know what you're working with? Start by running list_rooftop_sites. This tool pulls all unique site IDs, capacities, and locations configured in your Solcast account. If you just need a quick estimate for an initial scoping call, use get_simple_pv_forecast. You only have to feed it latitude, longitude, and system capacity; that's all it needs.

Modeling Known Sites (The Deep Dive)

When you know the site, you get precise results. To model a known, registered rooftop array, use get_site_forecasts. This tool pulls power output predictions specifically tied to that site ID and its stored parameters. If you're trying to audit performance or predict yields when measured data isn't available, run get_site_estimated_actuals using the specific site ID.

For maximum accuracy—the kind of detailed modeling that matters—you’ll want to use get_detailed_pv_forecast. This function requires you to input exact system geometry parameters like tilt and azimuth angle. That gives you the most accurate possible power output prediction.

Assessing Raw Resource Potential

Sometimes, you don't know the site yet; you just need to judge if a location is viable for solar. For that, you look at raw sunlight metrics using get_radiation_forecasts. This predicts core irradiance values: GHI, DNI, and DHI. You also get general resource assessment data with get_solar_summary, which combines irradiance, weather, and PV data into one full picture.

If the area is broader and you just need to predict raw power output using satellite cloud tracking for a given site capacity, use get_pv_power_forecasts.

Analyzing System Performance and History

To check how things really are going, your agent can pull measured data. Running get_site_measured_actuals pulls the exact PV power output from any registered, telemetry-enabled site over time. For validating models or analyzing past performance trends, use get_historical_radiation. This retrieves years of actual solar irradiance readings (GHI, DNI, etc.) for a specific location and time range.

You'll also need to factor in the environment. Use get_weather_forecasts to predict environmental factors like air temperature, cloud opacity, and snow depth—these things drastically affect your final output. For general resource assessment that combines everything into one view, run get_solar_summary. You can also get raw predictions for key irradiance metrics by calling get_radiation_forecasts.

This toolkit lets you go from a quick estimate to a full-blown performance audit in minutes.