eddmann/strava-mcp

MCP server enabling LLMs to interact with the Strava API - activities, segments, routes, and training analysis

34
/ 100
Emerging

This tool helps athletes and fitness enthusiasts understand their Strava data better by letting them ask questions in plain language to AI models like ChatGPT or Claude. You can input natural language questions about your activities, segments, routes, and training, and it will output summarized information and insights directly from your Strava account. It's designed for anyone who uses Strava for tracking their fitness and wants an easier way to analyze their performance and training.

Use this if you want to use natural language to query and analyze your personal Strava data, like understanding your training patterns or comparing performance on specific runs and segments.

Not ideal if you're looking for a standalone fitness tracking app or a complex data visualization platform beyond simple summaries and insights.

fitness-tracking training-analysis personal-best-tracking route-management activity-logging
No Package No Dependents
Maintenance 6 / 25
Adoption 4 / 25
Maturity 15 / 25
Community 9 / 25

How are scores calculated?

Stars

7

Forks

1

Language

Python

License

MIT

Last pushed

Nov 06, 2025

Commits (30d)

0

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curl "https://pt-edge.onrender.com/api/v1/quality/mcp/eddmann/strava-mcp"

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