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Turn Strava ride data into a validated fueling plan and orderable box.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.musette-cc/musette-mcp" MCP server from askskill: Run: claude mcp add --transport http 'io-github-musette-cc-musette-mcp' 'https://mcp.musette.cc'
Based on my latest 120 km Strava ride, create a pre-, during-, and post-ride nutrition plan. List hourly carbohydrate, electrolyte, and hydration intake by time point.
A structured cycling nutrition plan with pre-, during-, and post-ride recommendations plus hourly intake guidance.
Using my Strava training load this week and the intensity of my weekend race, generate a race-day fueling checklist and turn it into an orderable box with quantities and timing for each item.
A race-day fueling box recommendation with item list, quantities, timing, and overall fueling strategy.
Analyze the distance, elevation, and intensity of my last four Strava rides, assess whether my current fueling strategy is appropriate, and suggest nutrition adjustments better suited for endurance cycling.
A fueling assessment based on training data that highlights issues and provides targeted optimization recommendations.
Access real-time Garmin and Strava data to analyze training and suggest workouts.
Connect Strava data for training analysis, workout planning, and gear insights.
Analyze fitness performance and wellness trends from Strava and intervals.icu data.
Query Strava activities, stats, routes, and analyze training performance.
Access Strava data, routes, and weather for intelligent running coaching.
Connect to Strava API via MCP to manage activities, routes, clubs, and segments.