Strava
Connects to the Strava API to provide tools for accessing fitness data through Large Language Models.
About
This tool acts as a bridge between the Strava API and Large Language Models (LLMs) by implementing a Model Context Protocol (MCP) server. It allows users to access and interact with their Strava data, such as activities, profile information, and segment details, through natural language prompts, enabling AI-powered analysis and insights into their fitness activities.
Key Features
- Explore, view, star, and manage segments.
- List and view details of saved routes.
- Access recent activities, profile, and stats.
- Export routes in GPX or TCX format.
- Fetch detailed activity streams (power, heart rate, cadence, etc.).
- 34 GitHub stars
Use Cases
- Generating personalized coaching feedback based on workout data.
- Analyzing Strava activity data using natural language queries.
- Automating tasks related to Strava data management.
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