Strava offers an official MCP (Model Context Protocol) connector that lets AI assistants read live training data (activities, fitness trends, training load). It currently works with Claude and Gemini.

Please consider adding Strava MCP support to Lumo. Many Lumo users are athletes who track their activities on Strava and would love to analyze their data within the privacy-focused Proton ecosystem, instead of relying on external AI providers.

Benefits:

Users can ask questions about their activities, routes and training progress directly in Lumo
Keeps data processing inside the trusted Proton environment
Removes the need for manual GPX exports and copy-paste workarounds
MCP is an open standard, so the connector would fit a broader ecosystem of integrations.