TrainingPeaks MCP
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- FlicenseNot gradedqualityAmaintenanceConnects AI assistants to a TrainingPeaks account through the Model Context Protocol, enabling natural-language querying and editing of workouts, structured intervals, calendars, events, health metrics, equipment, and athlete settings. It also exposes fitness trends (CTL/ATL/TSB), power and running PRs, and coach-oriented group and training-plan management, using secure cookie authentication that any account holder can set up without API approval.-
- FlicenseNot gradedqualityAmaintenanceConnects TrainingPeaks to Claude and other AI assistants over the Model Context Protocol, enabling natural-language querying and management of workouts, structured intervals, calendar events, fitness trends (CTL/ATL/TSB), power PRs, health metrics, equipment, and athlete settings. It uses secure cookie authentication kept in the system keyring, so no API approval is needed and any account can be used.-
- FlicenseNot gradedqualityAmaintenanceConnects AI assistants to a TrainingPeaks account over the Model Context Protocol using cookie-based authentication that requires no API approval, letting users query and build structured workouts, schedule races and notes, manage equipment and workout libraries, and control zone settings through natural conversation. It also exposes fitness trends (CTL/ATL/TSB), power and running PRs, health metrics, and coach-level athlete groups and multi-week training plans.-
- AlicenseAqualityDmaintenanceEnables AI assistants like Claude to interact with TrainingPeaks, allowing users to query workouts, build structured intervals, track fitness trends, and add comments through natural language, with automatic secure login.8MIT
- FlicenseNot gradedqualityAmaintenanceConnects Claude and other AI assistants to any TrainingPeaks account via secure cookie authentication with no API approval, enabling natural-language querying and management of workouts, structured intervals, calendars, events, equipment, strength sessions, health metrics, and coach tools like athlete groups and multi-week training plans. It also surfaces fitness analytics such as CTL/ATL/TSB trends, power and running PRs, weekly TSS summaries, and annual training plan targets, with optional inline charts on clients supporting MCP Apps.-
- FlicenseNot gradedqualityAmaintenanceEnables Claude and other AI assistants to query workouts, build structured intervals, manage calendars, track fitness trends, and control training through natural conversation without official API approval.-
TDQS
Scored across 65 tools
Most tools target a distinct resource and action, but there is some overlap between event-related tools like tp_get_focus_event, tp_get_next_event, and tp_get_events, and between tp_get_fitness and tp_get_weekly_summary. Descriptions help clarify, so the ambiguity is limited.
All tools follow a consistent pattern: 'tp_' prefix followed by a verb_noun in snake_case (e.g., get_workouts, create_workout, delete_equipment). There are no mixed conventions or unpredictable naming styles.
With 65 tools, the server is heavily over-scoped for typical MCP usage, even for a large platform like TrainingPeaks. Many tools could be consolidated (e.g., event fetching, PR comparisons), making the set unwieldy for agents.
The tool surface covers most CRUD operations for workouts, events, notes, equipment, libraries, and availability. Minor gaps exist, such as no delete operation for library items and no update operation for availability, but these are workarounds.