intervals-mcp
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- FlicenseAqualityDmaintenanceEnables 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.6-
- AlicenseCqualityCmaintenanceEnables AI agents to read training data and, with explicit approval, replace planned workouts in a user's Intervals.icu account.7Apache 2.0
- FlicenseAqualityDmaintenanceEnables AI assistants to interact with Intervals.icu fitness tracking and wellness data, allowing users to fetch, filter, and group activities or health metrics. It provides structured summaries of workouts and physical well-being through natural language queries.4-
- AlicenseAqualityBmaintenanceEnables Claude and ChatGPT to access and manage Intervals.icu data, including activities, events, wellness metrics, power curves, and custom items through natural language.26GPL 3.0
- AlicenseAqualityBmaintenanceEnables natural-language access to Intervals.icu training data, wellness metrics, activities, events, and workout management through MCP-compatible clients.64MIT
- AlicenseAqualityDmaintenanceEnables interaction with Intervals.icu data, including activities, wellness, and calendar events, via natural language.1015 npm1MIT
TDQS
Scored across 15 tools
Every tool targets a distinct resource: profile, wellness, settings, activities (list vs single), intervals, streams, readiness, charts, events, best efforts, gear, workouts, and a raw fallback. Even closely related tools like get_activity_intervals and get_activity_streams are clearly separated by their descriptions.
The naming is mostly consistent with a get_/list_ + noun pattern. The notable outlier is intervals_get_raw, which reverses the convention, and minor singular/plural inconsistency between get_best_efforts and get_best_effort_chart, but the pattern is otherwise predictable.
15 tools sits right at the upper bound of a well-scoped set, and each tool maps cleanly to a meaningful part of the intervals.icu API. No redundant or filler tools; even the raw escape hatch serves a clear fallback role.
The surface thoroughly covers the read-only athlete analytics domain: profile, training load, wellness, activities with multiple detail levels, best efforts, charts, events, gear, and workout templates. The raw escape hatch closes any remaining gaps, making dead ends unlikely.