Intervals.icu MCP Server
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- AlicenseAqualityFmaintenanceA Model Context Protocol (MCP) server for Intervals.icu integration. Access your training data, wellness metrics, and performance analysis through Claude and other LLMs.4835MIT
- AlicenseNot gradedqualityBmaintenanceAn MCP server that connects Claude to intervals.icu training data, enabling advanced physiological analysis, activity and wellness management, and conversational insights using proprietary metrics like CCI and HRV correction.MIT
- AlicenseAqualityAmaintenanceMCP server for Intervals.icu that enables AI assistants to manage athletic training data, including activities, calendar events, wellness metrics, and workout libraries.19Apache 2.0
- AlicenseNot gradedqualityCmaintenanceA self-hosted, multi-tenant MCP server that exposes the Intervals.icu API—activities, events, wellness, power curves, gear, and custom items—as MCP tools for Claude.GPL 3.0
- AlicenseAqualityBmaintenanceMCP server that connects AI agents to Intervals.icu, enabling access to training data such as activities, wellness metrics, calendar events, gear, power curves, and custom items. Includes a running coach AI template for automated post-session analysis.1912 npm1MIT
- FlicenseNot gradedqualityDmaintenanceProvides MCP servers for Claude to access fitness data from Strava and intervals.icu, enabling natural language queries for activity analysis, advanced training metrics, and wellness tracking.1-
TDQS
Scored across 21 tools
Each tool maps to a distinct resource and action: activities, events, notes, custom items, wellness, gear, and profile are clearly separated. Within the activity group, list/detail/interval/stream/message endpoints are well differentiated by their descriptions.
Most tools follow a predictable verb_noun pattern like get_activities, create_custom_item, delete_event, and add_activity_message. Minor inconsistencies exist: icu_get_athlete_profile uses an unusual prefix, and add_or_update is used for events/notes while create/update is used for custom items.
21 tools is above the typical 3-15 sweet spot, but the count maps naturally to multiple distinct Intervals.icu domains: activities, events/calendar, custom items, wellness, gear, and athlete profile. It feels slightly heavy rather than bloated or redundant.
The set covers the main workflows well: reading activity data, managing events and notes, full CRUD for custom items, and pulling wellness, gear, and profile information. Minor gaps exist—no activity write/delete operations, no note deletion, and no wellness or gear updates—but these are workable for a mostly read-oriented integration.