Strava Introduces Gemini Integration: AI Analyzes Runs

    In June, “Strava” launched a “Model Context Protocol” (MCP) integration that allowed subscribers to ask the “Claude” AI questions about their workout data. Now the same feature has been integrated directly with “Google Gemini.” Subscribers can receive more detailed and personalized workout answers based on their activity history.    Once the accounts are connected, “Gemini” can check whether the user is running faster than before at the same heart rate. The AI also analyzes the impact of strength training on results. It can also provide a detailed assessment of the user’s performance in their latest race.    “Gemini” can compare the user’s fastest 10-kilometer time this year with their personal record. The service also identifies the longest running streak on “Strava.” By reviewing the activity history, it checks whether weather conditions have affected speed and overall performance.    According to “Strava,” the “Gemini” integration is optional and read-only. Users approve the connection themselves and can disconnect it at any time. The feature is available on all “Gemini” plans, but it has been launched only in the US.    To connect a “Strava” account, users first open “Google Gemini” and go to the “Personal Intelligence” section. They then select “Strava” from the list of connected apps and sign in to their account. Finally, they grant “Gemini” permission to read their workout data. The AI can then answer questions about past activities.