Strava MCP
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- AlicenseBqualityDmaintenanceEnables interaction with Strava's API to access and manage activities, athlete data, routes, segments, clubs, and gear through natural language.227 npmMIT
- AlicenseAqualityBmaintenanceEnables AI assistants like Claude to read a single user's own Strava account through its API: profile and totals, activities with laps, splits, zones and per-second streams, plus segments, routes, gear and clubs. It is strictly read-only, using the user's own Strava API application and OAuth tokens stored locally, and returns model-friendly, context-sized data.14MIT
- AlicenseAqualityDmaintenanceEnables AI assistants to directly access and analyze Strava activity data, including runs, rides, and swims, through natural language queries.417 npmMIT
- FlicenseAqualityDmaintenanceEnables AI agents to interact with the Strava API to retrieve athlete statistics and activity data. It provides tools for listing recent activities and fetching detailed information for specific workout sessions.7-
- FlicenseNot gradedqualityCmaintenanceEnables querying and analyzing personal Strava activity data through natural language, including activities, segments, gear, and training trends.-
- AlicenseNot gradedqualityCmaintenanceConnects Claude to Strava data for natural language queries about rides, stats, and activities.7 npmMIT
TDQS
Scored across 7 tools
Each tool maps to a distinct step in a browser-automation lifecycle: guide, status check, open, read, click, type, close. There is no meaningful overlap between them, and the workflow ordering is explicit (guide first, close last).
All seven tools use the same strava_ prefix followed by a short lowercase verb or noun (guide, status, open, read, click, type, close). The pattern is uniform and immediately readable as a single coherent family.
Seven tools is a tight, well-scoped set for driving a signed-in browser session against one site. Every tool corresponds to a necessary primitive in that loop, with no redundant affordances.
The surface covers the essential interaction loop: orient (guide/status), navigate (open), inspect (read), act (click/type), and clean up (close). Minor gaps exist—no explicit scroll, back/navigation, wait-for-load, or file/upload helper—which an agent can usually work around by re-reading the page.