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Use Strava Social with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Explore Strava activities feed, kudos, comments, clubs, and discover new segments.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 10 capabilities

The complete Strava Social capability set.

These are the exact actions your AI can choose when you ask it to work with Strava Social.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through Strava Social.

  1. 01

    Explore segments

    G., "-74.00,40.70,-73.95,40.75" for Manhattan). Optional filters: activity_type ("running" or "riding"), min_cat/max_cat (category 0-5, where 0 is hardest/steepest). Returns segments with name, distance, elevation, grade, and climb category. Use this to discover new training routes, find popular segments in an area, or plan rides/runs in a new city. Explore and discover Strava segments in a geographic area

  2. 02

    Get activity comments

    Each comment includes athlete name, text, and creation date. The activityId is the numeric ID from Strava activity URLs. Use this to see community engagement on a workout, read feedback, or track conversation around a specific activity. Get all comments on a specific Strava activity

  3. 03

    Get activity kudos

    Each entry includes athlete name, profile picture, and city. The activityId is the numeric ID from Strava. Use this to see who supported an activity, understand social engagement, or track training partners' interactions. Get the list of athletes who gave kudos (likes) to a specific activity

  4. 04

    List activities

    Activities are sorted by most recent first. Optional filters: "before" (epoch timestamp, defaults to now), "after" (epoch timestamp for date range), "page" and "per_page" (pagination, max 200 per page, max 2000 total). Each activity includes: name, type, distance, moving_time, elevation, kudos_count, comment_count, start_date, and basic stats. Use this to get the activity feed, analyze recent workouts, or review training history. Epoch timestamps can be generated from dates. List the authenticated athlete's activities with optional date filtering and pagination

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through Strava Social.

  1. 05

    List starred segments

    Each segment includes: name, distance, elevation gain, average grade, activity type, city, country, and the athlete's PR time if any. Use this to review favorite segments, plan training routes, or track progress on key segments over time. List all segments starred (favorited) by the authenticated athlete

  2. 06

    Get athlete

    Use this to understand the athlete's identity, location, and equipment setup. Get the authenticated athlete's profile information

  3. 07

    Get club

    The clubId is found in Strava club URLs. Use this to explore club details before joining or to understand a club's focus and community. Get detailed information about a specific Strava club

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through Strava Social.

  1. 08

    List athlete clubs

    Each club includes name, member count, city, country, sport type (cycling/running/triathlon), and privacy status. Use this to discover club memberships, find training groups, or understand community affiliations. List all clubs the authenticated athlete belongs to

  2. 09

    List club activities

    Each entry includes athlete name, activity name, type, distance, and date. Paginated (30 per page). The clubId is from Strava club URLs. Use this to stay updated on club training activity, discover what members are doing, or find group workout opportunities. Get recent activities from members of a Strava club

  3. 10

    List club members

    Paginated (30 per page). The clubId is from Strava club URLs. Use this to discover training partners in a club, find athletes in your area, or explore club community composition. List members of a specific Strava club

Observed, not estimated

916ms average. Fast in production.

Strava Social is checked daily against the live service.

Daily averagePeak 1171ms
Aug 20Today
Fastest day
738ms
Slowest day
1171ms
14-day trend
Slowing+18%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 10 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Strava Social, so you can see the experience inside your AI.

It does not authenticate your account with Strava Social. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Strava Social Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_4Xes1Z8AwPYYElKFP8RfKdXRGors8Eofsf50VVFS/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Strava Social capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "strava-social-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_4Xes1Z8AwPYYElKFP8RfKdXRGors8Eofsf50VVFS/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Strava Social owners ask.

  • 01

    Can I see who liked my activities?

    Yes! Use the get_activity_kudos capability with any activity ID. It returns the full list of athletes who gave kudos to that activity, including their names, cities, and profile pictures. This helps you understand who's following and supporting your training.

  • 02

    How can I discover popular segments in a new city?

    Use the explore_segments capability with a bounding box of the area you're interested in. The bounds format is "southwest_lng,southwest_lat,northeast_lng,northeast_lat". For example, "-74.00,40.70,-73.95,40.75" covers Manhattan. You can filter by activity_type ("riding" or "running") and difficulty category (0-5, where 0 is hardest).

  • 03

    Can I see what my club members have been doing?

    Yes! Use list_club_activities with the club ID. It returns the 30 most recent activities from club members with athlete names, activity types, distances, and dates. Paginate through results to see more. This is great for staying connected with your training group's activities.

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