intervals-icu-mcp
Related Servers
Alternatives to intervals-icu-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceMCP server that connects Claude and ChatGPT to the Intervals.icu API, enabling retrieval and management of activities, events, wellness data, power curves, and custom items.21GPL 3.0
- AlicenseAqualityBmaintenanceA Model Context Protocol (MCP) server for Garmin Connect integration. Access your activities, health data, training metrics, and more through Claude and other LLMs.2264MIT
- 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 gradedqualityFmaintenanceA 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
- AlicenseAqualityAmaintenanceA Model Context Protocol (MCP) server that fetches sleep, HRV, and training data from the unofficial Coros API and exposes them to AI assistants like Claude, enabling natural language queries about fitness metrics and workout management.26122MIT
TDQS
Scored across 48 tools
Most tools have clearly distinct purposes, but search_activities and search_activities_full are near-duplicates differing only in response detail. Similarly, get_calendar_events and get_upcoming_workouts overlap somewhat, though descriptions mitigate ambiguity.
All tools follow a consistent verb_noun snake_case pattern (e.g., get_activity_details, create_event, delete_gear). Minor singular/plural deviations like get_workout_library vs get_workouts_in_folder do not undermine predictability.
With 48 tools, the surface far exceeds the typical 3-15 range. Many tools could be consolidated (e.g., histograms, search variants, bulk operations), making the set feel bloated and overwhelming for agents.
Core activity and calendar management are well covered, but there are notable gaps: no activity upload, no delete for gear reminders, no single-gear retrieval, and no workout creation/editing. Some CRUD cycles are incomplete.