strava-mcp
Related Servers
Alternatives to strava-mcp
No user-submitted related servers found.
Related Servers
- AlicenseBqualityCmaintenanceA local, read-only Model Context Protocol server for an athlete's Strava profile and activities, enabling retrieval of profile data, activity lists (with paging and date filters), and detailed activity information via standard input/output for MCP hosts.311 npmMIT
- AlicenseBqualityAmaintenanceMCP server for local fitness-data extraction and analysis from Garmin Connect, Intervals.icu, and Strava. Provides read-only analytical tools over DuckDB and targeted Strava enrichment.35271 npmAGPL 3.0
- AlicenseNot gradedqualityDmaintenanceMCP server that exposes Strava API v3 data (activities, segments, routes, clubs, gear, streams) as tools for any MCP client. Read-only by default, with an optional --write flag to enable mutating operations.11 npm1MIT
- AlicenseBqualityAmaintenancePrivacy-first MCP server for Strava activities, streams, routes and training data.29168 npm3MIT
- FlicenseAqualityCmaintenanceExposes Strava training data to Claude for coaching, planning, and analysis via a read-only MCP server with OAuth and Docker support.13-
- FlicenseAqualityCmaintenanceAn MCP server that exposes Strava v3 API as read-only tools for AI agents. It covers athlete profiles, activities, stats, routes, segments, and rate limits, with OAuth2 authorization handled via a companion HTTP server.20-
TDQS
Scored across 16 tools
Most tools are clearly distinct, but a few could overlap in intent, such as athlete_profile vs athlete_stats and sync_activities vs export_activities. Overall, the descriptions and resource targets make confusion unlikely.
All tools share the strava_ prefix, but the pattern is inconsistent: some use resource_detail/resource_status, while others use verb_entity like sync_activities and export_activities. This mixed convention reduces predictability.
16 tools is slightly above the typical well-scoped range, but the count is reasonable for a Strava API surface covering athlete, activity, gear, zones, streams, sync, cache, and export functionality.
The toolset covers the main read-oriented Strava data needs: athlete info, stats, activities, streams, zones, laps, gear, and cache/export workflows. It lacks write/create/update operations, but for a read-heavy MCP server this is likely sufficient.