Strava MCP Server
Related Servers
Alternatives to Strava MCP Server
No user-submitted related servers found.
Related Servers
- FlicenseAqualityDmaintenanceConnects Claude to your Strava fitness data, enabling natural language queries about your training history such as activities, stats, and routes.8-
- AlicenseAqualityDmaintenanceConnects Claude to your Strava account for analyzing training, predicting race times, and generating periodized training plans via natural language.1343 npmISC
- AlicenseAqualityDmaintenanceConnects Strava training data to Claude, enabling personalized coaching through analysis of training load, workout planning, gear maintenance, and power metrics.10MIT
- FlicenseNot gradedqualityDmaintenanceEnables Claude to access and analyze your Strava activities through OAuth authentication. Supports retrieving activity lists and detailed workout data for fitness tracking and analysis.2-
- AlicenseAqualityDmaintenanceConnects Claude to your Strava account so you can query your activities, stats, routes, and segments using natural language.2712 npm1MIT
- AlicenseNot gradedqualityDmaintenanceExposes your Strava data to Claude, enabling training load analysis, activity comparison, and lap splits via conversation.10 npmMIT
TDQS
Scored across 6 tools
Each tool targets a clearly distinct resource or granularity: athlete profile, aggregate stats, activity list, activity detail, time-series streams, and zones. The only close pair, get_activity and get_activity_streams, is cleanly separated by summary detail vs. raw time-series data.
All tool names follow a consistent verb_noun snake_case pattern, with five using get_ and one using list_activities. The lone list_ is still a standard retrieval verb, so the naming stays predictable and coherent.
Six tools is a well-scoped size for a read-only Strava analytics server. Each tool covers a distinct part of the activity/athlete data surface without unnecessary duplication or bloat.
For the apparent purpose of retrieving athlete and activity data, the surface is complete: profile, aggregate stats, activity listing, detailed activity, streams, and zones. There are no dead ends for common queries like 'how fast was my last ride?' or 'what are my power zones?'