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160,533 tools. Last updated 2026-05-29 19:33

"ICQ" matching MCP tools:

  • Fetch raw per-sample time-series for an activity — power, heart rate, cadence, speed, altitude, GPS, temperature, grade. Use for custom visualization or analysis when summary metrics are insufficient.
    MIT
  • Create a single new calendar event from scratch with support for workout syntax, custom categories, and training availability. Ideal for adding one-off workouts, notes, or race entries.
    MIT
  • Fetch pace-vs-duration curves (5s to 1h) for running or swimming to analyze fitness trends and predict race times. Optionally use Grade-Adjusted Pace to account for hills.
    MIT

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  • WHO ICD-10/ICD-11 diagnosis codes. Lookup, search, chapters via official WHO API.

  • WHO ICF classification codes for health and disability. Lookup, search, browse via WHO API.

  • Add custom fields, charts, zones, or tables to your Intervals.icu account. Choose the item type to match your need—input fields for wellness, activity fields, interval fields, zone sets, or various chart types.
    MIT
  • Retrieve your athlete profile with personal details, sport-specific thresholds (FTP, FTHR, pace), and current CTL/ATL/TSB form metrics for training analysis.
    MIT
  • Fetch the best sustained power across durations from 5 seconds to 1 hour to estimate FTP, track peak power, and analyze strengths and weaknesses across different duration profiles.
    MIT
  • Create or update wellness data for a specific date with metrics like weight, HRV, sleep, subjective scales, and more. Lock records to prevent overwrite from device sync.
    MIT
  • Recomputes training load, zones, and derived metrics on historical activities by applying current sport settings. Use after updating FTP/FTHR/pace to backfill chart math.
    MIT
  • Analyze the time-in-zone distribution of grade-adjusted pace (GAP) for a trail running activity, normalizing for elevation changes to provide accurate pacing insights.
    MIT
  • Retrieves time spent in each power zone for a single activity, showing intensity distribution. Use to analyze training zone breakdown and workout structure.
    MIT