This MCP server connects to the Strava API, enabling AI assistants like Claude to retrieve and analyze user fitness activities, athlete statistics, and related data efficiently.
Added on:
Created by:
Apr 05 2025
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What is StravaMCP?
The StravaMCP is a Model Context Protocol server designed to interface with the Strava API. It allows AI assistants such as Claude to access detailed fitness data including activities like running, cycling, swimming, and more. Users can retrieve athlete statistics, activity details, routes, and profile information seamlessly. The server handles OAuth2 authentication, token refresh, and API rate limits, providing a secure and efficient way to analyze and utilize Strava data for training insights and progress tracking.
Who will use StravaMCP?
- Fitness Enthusiasts
- Athletes
- Personal Trainers
- Data Analysts
- Developers integrating fitness data
How to use the StravaMCP?
- Step1: Set up your Strava API credentials and environment
- Step2: Run the MCP server using uv or Python
- Step3: Configure your AI assistant (like Claude) with the server URL and credentials
- Step4: Send queries to the AI assistant related to your activities or statistics
- Step5: Receive analyzed data and insights from the MCP through the AI system
StravaMCP's Core Features & Benefits
The Core Features
- ping
- activities
- activity
- athlete
- stats
- routes
The Benefits
- Seamless integration with Strava API
- Automatic token refresh
- Supports detailed activity analysis
- Enables AI-based fitness insights
- Secure handling of user data
StravaMCP's Main Use Cases & Applications
- Retrieving recent activities and activity details
- Analyzing weekly or monthly fitness progress
- Generating athlete statistics for performance assessment
- Managing and exploring saved routes
- Supporting AI-driven fitness coaching and insights
FAQs of StravaMCP
Developer
- AnkitPatel12