MCP For Claude Marketplace
Travel Time Wave Quality

Travel Time Wave Quality MCP Connector for Claude

A+

Evaluate surf trip efficiency by weighing wave quality against travel time and fuel costs.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides decision-support tools for surfers to determine if a trip is worth the effort. By analyzing the relationship between time investment, wave quality, and travel expenses, it calculates key metrics like quality-hours and trip scores. Use calculate_trip_efficiency to find the core value of a trip, estimate_fuel_burden to see the financial impact per wave, analyze_swell_window_utility to check swell window coverage, or compare_trip_options to choose between two different surf destinations.

surfingtravel-planningefficiencyweathercost-analysis

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

analyze_swell_window_utility

Determines how much of the optimal swell window is being utilized effectively

compare_trip_options

Compares two different trip profiles to recommend the one with the best balance of quality and cost

calculate_trip_efficiency

Evaluates the core value of a trip by comparing the time spent surfing against the time spent traveling

estimate_fuel_burden

Calculates the financial impact of the trip relative to the expected surfing time

See how to talk to your AI agent using Travel Time Wave Quality.

Calculate the efficiency of a trip with 4 hours of travel, 6 hours of surfing, and a wave quality score of 4.

The trip has 24 quality-hours and a trip score of 12.5.

I spent $50 on fuel for a 5-hour surf session. How much does each wave cost me?

The fuel cost is $10 per hour, which results in an estimated cost of $0.25 per wave.

Is my 3-hour surf session a good use of a 10-hour swell window if I have 2 hours of travel time?

The swell window utilization is 30%, and the effective window coverage is 0.8.

The trip score is a normalized metric that balances total quality-hours against travel time and fuel costs using the `calculate_trip_efficiency` logic.

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