Surf Forecast Accuracy Diagnostic

Surf Forecast Accuracy Diagnostic MCP Connector for Claude

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Evaluate surf forecast precision by comparing predicted wave conditions against real-world observations.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides diagnostic tools to evaluate the precision of surf forecast models. By comparing predicted wave conditions against real-world observations, it enables optimized model selection and bias adjustment. Use get_model_performance_stats to retrieve reliability scores, calculate_bias_correction to find adjustment factors for metrics like wave height, and recommend_best_model to identify the most trustworthy forecast for specific sea states and regions. It also includes verify_forecast_integrity to ensure historical data is sufficient for analysis.

surfforecastoceanaccuracyweather-models

4 tools expose this connector's capabilities to your AI agent.

calculate_bias_correction

Calculate the bias correction factor for a model variable

get_model_performance_stats

Get accuracy statistics for a specific model in a region over a time range

recommend_best_model

Recommend the most reliable model for a region and condition

verify_forecast_integrity

Verify the integrity of historical forecast data

See how to talk to your AI agent using Surf Forecast Accuracy Diagnostic.

How accurate has the 'global_swell_v2' model been in the North Atlantic over the last month?

The 'global_swell_v2' model has an accuracy score of 0.88 and a High reliability rating in the North Atlantic for the requested period.

Which model should I trust most for wind chop in the South Pacific?

The 'regional_pacific_pro' model is recommended for wind chop in the South Pacific with an expected accuracy of 0.92.

How much should I adjust the wave height predictions for the 'ocean_master' model in the North Atlantic?

The correction factor for waveHeight for the 'ocean_master' model in the North Atlantic is 1.05, with a confidence level of 0.94.

You can use the `recommend_best_model` tool, specifying the region and setting the condition type to 'swell'.

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