# Strava Social MCP for AI Agents AI Agent Connect > Strava Social lets you bring your Strava social network into your AI client. You can browse activities, check out kudos and comments, manage club memberships, and find new segments. It connects your fitness data with your agent so you can analyze your training history or scout new routes without switching tabs. It's built for athletes who want to stay connected without the constant app-switching. ## Overview - **Category:** productivity - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_4Xes1Z8AwPYYElKFP8RfKdXRGors8Eofsf50VVFS/ai-agent-connect - **Tags:** activity-tracking, social-networking, fitness-data, community-engagement, segment-discovery ## Description Most athletes live in two worlds: the physical one where they're pushing their limits and the digital one where they share those achievements. Usually, moving between these worlds means jumping between your watch, your phone, and the Strava app to see who liked your last ride or what your running club is up to. This Connector changes that by letting your AI agent do the heavy lifting for you. Instead of digging through feeds, you can just ask your agent to summarize your recent training, find out who's cheering you on, or see what your local cycling club is planning for the weekend. You can explore your own profile details, see who's in your clubs, and even scout out specific segments in a new city you're visiting. It's like having a personal coach who knows your entire social history and can pull up the right info instantly. Whether you're looking for a new training partner or just want to see if your friends caught your latest PR, this integration makes your Strava data actually useful in a conversation. It's a great way to make the most of the Vinkius catalog by giving your agent a direct line to your fitness community. ## Tools ### list_activities Get a list of your recent activities with stats like distance and moving time. This helps you analyze your recent workouts or review your training history. ### get_athlete Pull your profile details including your location and equipment setup. Use this to understand your own identity and gear on the platform. ### get_club Fetch specific details about a Strava club to see its community focus. This is useful for exploring a club before you decide to join. ### list_club_activities See what members of a specific club have been doing recently. Use this to stay updated on group training or find workout opportunities. ### list_club_members Browse the roster of a club to find new training partners. It helps you see the community composition of any group you join. ### list_athlete_clubs See all the clubs you're currently a member of. Use this to understand your community affiliations and memberships. ### get_activity_comments Read the feedback and conversation on a specific workout. This lets you see community engagement and track conversations around an activity. ### explore_segments Find new training routes in a geographic area using bounding boxes. Use this to plan rides or runs when you're exploring a new city. ### get_activity_kudos See which athletes liked your activities and their profile info. This helps you track social engagement and see who's supporting your training. ### list_starred_segments Review your favorited segments and your personal PR times. Use this to track progress on key routes and plan your favorite training paths. ## Prompt Examples **Prompt:** ``` What did my running club do last weekend? ``` **Response:** ``` Here is a summary of the recent activities from your club members: | Athlete | Activity | Distance | Date | | :--- | :--- | :--- | :--- | | **Sarah M.** | Morning Trail Run | 8.4 km | Oct 12 | | **Tom K.** | Recovery Ride | 15.2 km | Oct 12 | | **Lisa P.** | Hill Sprints | 3.1 km | Oct 13 | It looks like the group is leaning towards trail running this weekend! ``` **Prompt:** ``` Find some hard cycling segments in Brooklyn. ``` **Response:** ``` I found a few challenging segments in the Brooklyn area for you: * **Bridge Climb:** 2.1 km, 4.5% avg grade (Cat 2) * **Park Loop:** 5.4 km, 3.2% avg grade (Cat 3) * **Industrial Sprint:** 1.2 km, 6.8% avg grade (Cat 1) Would you like me to look for more in a specific neighborhood? ``` **Prompt:** ``` Who liked my last ride? ``` **Response:** ``` You received **12 kudos** on your 'Sunday Coastal Ride'. Here are the athletes who supported you: * **Tom K.** from New York, NY * **Sarah M.** from Brooklyn, NY * **Mike R.** from Jersey City, NJ * ...and 9 others. Your training partners seem to be keeping a close eye on your progress! ``` ## Capabilities ### Browse your recent activity feed Get a chronological list of your workouts including distance, elevation, and engagement stats. ### Read comments on specific workouts See what your friends and teammates are saying about your latest rides or runs. ### See who gave you kudos Identify which athletes supported your activities and view their profile details. ### View your personal athlete profile Pull your personal Strava details like location, follower counts, and equipment. ### List your club memberships See every club you belong to along with their member counts and sport types. ### Check club details and member lists Explore the community focus and roster of any specific club you're interested in. ### Track your starred segments Review your favorite segments and your personal best times on those specific routes. ### Discover new segments in a specific area Find new training routes in a geographic area filtered by type and difficulty. ## Use Cases ### Scouting a new city An explorer asks their agent to find hard climbs in Manhattan to plan a weekend ride using explore_segments. ### Club management An organizer asks for a summary of what club members did last week to plan a meetup using list_club_activities. ### Training feedback A runner wants to see what friends said about their latest marathon attempt by asking to see comments on an activity. ### Profile audit An athlete wants to check their equipment setup and follower count quickly using the get_athlete tool. ## Benefits - Get instant summaries of your training history without opening the Strava app by using list_activities. - Stay updated on club activities using list_club_activities to see what your group is doing every day. - Find new routes quickly with explore_segments when visiting a new city for a weekend trip. - Monitor community engagement by reading feedback through get_activity_comments on your latest rides. - Track your progress on favorite routes using list_starred_segments to see your personal best times. - Identify training partners easily by browsing club rosters with list_club_members in your local area. ## How It Works The bottom line is you get a direct line from your AI agent to your Strava social data. 1. Subscribe to the Strava Social MCP on Vinkius. 2. Provide your Strava OAuth2 Access Token in your AI client settings. 3. Ask your agent to show your recent activities or find local segments. ## Frequently Asked Questions **Can I use Strava Social MCP to see my friends' activities?** Yes, you can browse your recent activity feed to see what your friends and followers have been up to. It brings those updates directly into your AI chat. **How do I find new routes with Strava Social MCP?** You can ask your agent to explore segments in a specific geographic area. It will find routes based on your preferred sport type and difficulty level. **Can Strava Social MCP help me manage my club?** Yes, it allows you to see your club memberships, list all members, and view recent activities from your club mates to help with planning. **Will Strava Social MCP show my private PRs?** It can show your progress on your starred segments, including your personal best times, making it easy to track your goals on favorite routes. **Can I see comments on my rides with Strava Social MCP?** Yes, you can ask your agent to pull up all the comments on a specific activity to see the feedback and conversation from your community. **Is Strava Social MCP good for finding training partners?** It's a great tool for that. You can browse the member lists of various clubs to find other athletes in your area who share your interests. **Can I see who liked my activities?** Yes! Use the get_activity_kudos tool 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. **How can I discover popular segments in a new city?** Use the explore_segments tool 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). **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.