MCPacer
Related Servers
Alternatives to MCPacer
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceYour AI running coach that actually remembers. An MCP server with persistent memory that connects your Strava data to Claude — tracking your zones, pace trends, injuries, and goals across sessions so coaching advice stays current.MIT
- AlicenseAqualityDmaintenanceConnects Strava training data to Claude, enabling personalized coaching through analysis of training load, workout planning, gear maintenance, and power metrics.10MIT
- FlicenseNot gradedqualityBmaintenanceConnects Claude to Garmin Connect data for personalized running coaching, including morning readiness checks, post-run analysis, weekly reviews, and goal tracking.-
- AlicenseAqualityDmaintenanceConnects Claude to your Strava account for analyzing training, predicting race times, and generating periodized training plans via natural language.1343 npmISC
- FlicenseNot gradedqualityCmaintenanceAI-powered coaching for runners, cyclists, swimmers, and triathletes, enabling personalized workouts, training plan adaptation, performance analytics, and AI coaching via Claude, MCP clients, or HTTP.-
- AlicenseNot gradedqualityDmaintenanceExposes your Strava data to Claude, enabling training load analysis, activity comparison, and lap splits via conversation.10 npmMIT
TDQS
Scored across 32 tools
Most tools have distinct purposes, but the activity retrieval set (get_activities, get_activities_by_date_range, get_recent_activities) overlaps, and get_run_context versus get_plan_context could cause confusion. Overall, the boundaries are clear for the majority.
All tool names follow a consistent verb_noun snake_case pattern (e.g., add_*, get_*, list_*, update_*, clear_*, save_*). No mixing of styles or inconsistent verbs.
32 tools is on the higher side but still appropriate for the breadth of functionality (activities, plans, body regions, memory, session logs, digestion). Each tool serves a distinct purpose, and the count is manageable.
The surface covers core coaching workflows: activity retrieval, plan CRUD, body diagram interaction, memory, session logs, and digestion. Minor gaps exist (e.g., no delete plan or remove comment tool), but the set is largely complete for the domain.