A simple test tool that verifies the server is running

Get authenticated athlete's Strava profile. Returns: name, username, bio, location, weight, premium status, measurement preferences.

Get aggregated activity statistics by sport type. Returns: recent (4 weeks), YTD, all-time totals for ride/run/swim. Each: count, distance (m), moving_time (s), elevation_gain (m).

List activities with filtering and pagination. Returns: id, name, type, sport_type, start_date, distance (m), moving_time (s), elapsed_time (s), total_elevation_gain (m), average_speed (m/s), heartrate, watts. Use week_offset for calendar weeks (0=this week, -1=last week). Monday-Sunday.

Get activity metadata by ID. Returns: name, description, splits, laps, segment_efforts, gear, calories. segment_efforts contains Strava segments from THIS activity only (no historical data). For segment analysis over time, pass segment_efforts[].id to get_segment_effort_streams. For full activity time-series, use get_activity_streams.

Get athlete's configured HR and power zones from Strava. Returns: heart_rate.zones[], power.zones[] with min/max for each zone. Requires profile:read_all scope.

Get zone distribution for an activity (heart rate, pace, power). Returns zone boundaries, time in seconds, and percentage per zone. For activity-specific zone analysis with time/ratios.

Analyze a Strava segment with full historical comparison. ONE call returns EVERYTHING: segment info, current effort stats, AND comparison with ALL previous attempts (best_time, average_time, total_efforts, rank, previous_efforts list). No need to list_activities - this tool automatically fetches all historical data. Use when user asks about segment history, progress, PRs, or performance over time. Input: segment_effort_id from get_activity_detail's segment_efforts array.