Iridium MCP Server
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- 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-
- 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-
- AlicenseNot gradedqualityDmaintenanceA comprehensive AI-powered fitness tracking application that enables AI tools to interact intelligently with user fitness data, providing personalized workout plans, nutrition tracking, and progress analysis through natural language.14MIT
- AlicenseNot gradedqualityCmaintenanceConnects AI assistants directly to Hevy workout data, enabling analysis of training volume, strength progression tracking, and web searches for fitness research.MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to access Garmin Connect activities, workouts, and workout templates for querying and creating workout plans.5MIT
- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to retrieve and analyze Garmin Connect health data, including daily summaries, sleep, HRV, workouts, and raw FIT files, while also supporting SQL queries on the underlying database.8-
TDQS
Scored across 19 tools
Most tools have clearly distinct purposes, with detailed descriptions that clarify overlaps (e.g., get_nutrition_log vs get_food_entries). A few pairs like get_workout_history/get_workout_detail and get_exercise_progress/get_personal_records could cause minor confusion, but descriptions resolve boundaries.
All tools follow a consistent verb_object pattern in snake_case (e.g., get_*, log_*, update_*, list_*). No mixing of conventions like camelCase or inconsistent verb styles.
19 tools cover the full domain of fitness tracking (training, nutrition, hydration, body measurements, profile) without feeling bloated or sparse. Each tool serves a clear purpose within the scope.
Covers nutrition and hydration entry well, but training tools are mostly read-only (no create/update workouts, no log training sessions). Body measurements are get-only. Notable gaps in data entry for training and measurements limit full lifecycle coverage.