Wave Count Predictor

Wave Count Predictor MCP Connector for Claude

A+

Predict wave counts, wait times, and optimal lineup positioning for surfing sessions.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides essential surf forecasting tools to help surfers plan their sessions. By analyzing session duration, crowd density, and wave regularity, the server uses predict_wave_metrics to estimate wave volume and wait times. It also offers recommend_positioning to suggest the best spot in the lineup, get_session_feasibility to determine if a session is worth the effort, and analyze_wait_patterns to assess fatigue risk and downtime. It acts as a bridge between environmental surf data and your AI assistant.

surfingoceanforecastingwavescoastal

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

analyze_wait_patterns

get_session_feasibility

predict_wave_metrics

recommend_positioning

See how to talk to your AI agent using Wave Count Predictor.

I'm planning a 60-minute surf session. The crowd is medium and waves are high consistency. What can I expect?

For a 60-minute session with medium crowd and high consistency, you can expect approximately 15 waves with an average wait time of 3 minutes.

Where should I sit in the lineup if the crowd is high and waves are low consistency?

With high crowd levels and low consistency, you should position yourself further outside to catch the rare sets as they arrive.

Is it worth surfing for 30 minutes if the crowd is high and I'm only expecting 2 waves?

No, a session with only 2 expected waves and a high crowd level is not recommended as the wave access is too limited.

Predictions are based on the inputs provided, such as crowd level and wave consistency. Using `predict_wave_metrics` with accurate session data provides the most reliable estimates.

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