A
licenseA
qualityD
maintenanceEnables AI assistants to directly access and analyze Strava activity data, including runs, rides, and swims, through natural language queries.
4
12 npm
MIT
strava-mcp
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No user-submitted related servers found.
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TDQS
A4.4/5.0
Scored across 4 tools
Disambiguation5/5
Each tool targets a distinct resource: athlete profile, recent activity list, individual activity details, and athlete stats. The descriptions cross-reference each other clearly (e.g., using get_recent_activities to find IDs for get_activity_details), eliminating ambiguity.
Naming Consistency5/5
All tool names follow a consistent get_<noun> pattern, using snake_case throughout. The naming clearly distinguishes list/detail operations without introducing mixed conventions or vague verbs.
Tool Count4/5
Four tools is a compact but reasonable set for a read-only Strava personal data server. While slightly small, the count is appropriate for the focused scope and each tool covers a necessary data retrieval need.
Completeness4/5
The server covers the core personal data lifecycle: profile, stats, activity list, and activity details. It lacks streams/segments or social features, but these are not obvious gaps for the described purpose of retrieving an athlete's summary data.
Maintenance
ActivityMaintained
ResponsivenessNo issues