Enables chat to query cycling training data from Intervals, including athlete profiles, activities, wellness, and calendar events, via read-only tools.
Provides AI assistants with read-only access to an athlete's Intervals.icu training data, including activities, wellness metrics, zones, and planned events, for use with MCP clients like ChatGPT and Claude.
Enables AI agents and terminal users to query running telemetry stored in SQLite through deterministic tools for interval segmentation, activity summaries, kilometer splits, aerobic decoupling and HR recovery metrics, plus chart generation and safe read-only SQL access. It keeps responses compact by decompressing and computing against raw sensor streams instead of loading them into the context window.
Enables AI assistants to access and analyze intervals.icu training data including activities, fitness metrics (CTL/ATL/TSB), wellness stats, and calendar events. Supports natural language querying of athletic performance for training insights and workout planning.
Enables users to ask their AI assistant about WHOOP recovery, sleep, HRV, strain, and workouts, with baselines, trends, period comparisons, and weekly health reviews drawn from their own recorded history. It also provides HYROX and triathlon race reports, readiness bands, and data auditing through read-only tools, resources, and prompt templates.
Exposes an athlete's training data — activities, streams, power curves, wellness records, calendar events, workouts, gear and routes — to MCP clients such as Claude, with 20 read-only tools plus two that can update wellness entries and create calendar events. Responses are downsampled, field-trimmed and credential-stripped so large datasets stay usable within a model's context.