matrix-workouts-mcp
Related Servers
Alternatives to matrix-workouts-mcp
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to query and create workouts with structured intervals, manage calendars and events, analyze power PRs and CTL/ATL/TSB fitness trends, handle workout libraries, equipment and health metrics through natural language. Uses secure cookie-based authentication stored in the system keyring, so no API approval is required and any account can be set up in minutes.-
- 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-
- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to query and analyze workouts, build structured intervals, manage calendars, events and libraries, and track fitness metrics such as CTL/ATL/TSB and power PRs through natural language. Uses secure cookie authentication stored in the system keyring, so no API approval or special account permissions are required.-
- AlicenseAqualityDmaintenanceEnables interaction with Intervals.icu data, including activities, wellness, and calendar events, via natural language.109 npm1MIT
- FlicenseNot gradedqualityAmaintenanceEnables AI assistants like Claude to query and manage endurance-training data through natural language, including workouts, structured intervals, calendars, events, workout libraries, strength sessions, health metrics, equipment, and coach tools. Provides fitness trend analysis (CTL/ATL/TSB), power and running PRs, FTP and zone updates, and annual training plan targets without requiring API approval, using keyring-stored cookie authentication.-
- FlicenseNot gradedqualityAmaintenanceConnects AI assistants to TrainingPeaks via secure cookie authentication (no API approval needed), letting users query and build workouts, schedule intervals on the calendar, analyze CTL/ATL/TSB fitness trends and power PRs, manage health metrics, events, equipment, and workout libraries through natural language. It also supports coach accounts with athlete groups and multi-week training plans.-
TDQS
Scored across 7 tools
Each tool targets a distinct operation—listing, single-ride detail, raw samples, aggregates, comparison, export, and cache refresh—and the descriptions explicitly cross-reference the intended usage. No two tools overlap in function, and boundary cases like get_workout vs get_samples are clearly called out.
All seven tools follow a consistent verb_noun snake_case pattern (list_, get_, summarize_, compare_, export_, refresh_). Singular and plural noun usage is logical and predictable, making tool selection straightforward.
Seven tools is well-scoped for a workout-history MCP: the core read, analyze, and export paths are covered without redundancy. Each tool earns its place, and there is no sense of bloat or thinness.
The surface covers listing, detail, raw samples, aggregation, comparison, export, and cache refresh, so a user can go from finding a ride to analyzing or exporting it without dead ends. Create/update/delete are not needed because the server reads externally recorded rides and refresh_history handles new data.