Ctvidic Strava MCP Server
A Model Context Protocol (MCP) server based on the Strava API, providing sports data access and analysis functions, including activity tracking, athlete statistics, route visualization, etc.
rating : 2 points
downloads : 15
What is the Strava MCP Server?
This is an AI interface server specifically designed for Strava sports data, allowing AI assistants like Claude to directly read and analyze your sports records. You can query detailed data of activities such as running and cycling through natural language and get professional analysis suggestions.How to use this service?
Just complete a simple authorization configuration, and you can query Strava data through conversations. For example, directly ask 'What was my average running pace last week?', and the AI will automatically obtain data from Strava and generate an analysis report.Applicable scenarios
Suitable for athletes, fitness enthusiasts, coaches and other people who need in - depth analysis of training data. Whether it's a daily training review, event preparation analysis, or long - term progress tracking, you can get professional insights through natural conversations.Main features
Activity trackingGet detailed sports records, including complete data such as distance, duration, pace, and route map.
Performance analysisAutomatically calculate the changing trends of key indicators and identify training effects and progress.
Social interactionView friends' activities, like and comment, and manage sports social relationships.
Goal trackingMonitor personal records and annual goal progress and get completion predictions.
Route visualizationGenerate a schematic diagram of the sports route with an elevation profile, supporting 3D viewing.
Advantages and limitations
Advantages
No need to learn complex data analysis tools, and you can get professional insights through natural language.
Connect to the latest Strava data in real - time, and the analysis results are always based on the latest training records.
Support multi - dimensional cross - analysis, such as considering heart rate, pace, and elevation changes simultaneously.
Completely private data processing, and all analyses are completed on your device.
Limitations
A stable network connection is required to synchronize Strava data.
Advanced data analysis functions require a Pro membership subscription.
Some professional indicators require the support of specific sports equipment (such as a heart rate belt).
The first - time configuration requires completing the OAuth authorization process.
How to use
Get an API key
Log in to the Strava developer platform to create an application and obtain the Client ID and Client Secret.
Configure the environment file
Create a.env file in the project config folder and fill in your Strava API credentials.
Start the server
Run the startup script, and the service will run on the local port 8000.
Connect to Claude
Add the MCP server configuration in the Claude settings, pointing to the locally running service.
Usage examples
Training load analysisEvaluate whether the recent training intensity is appropriate and avoid over - training.
Event preparationEvaluate the current preparation status for a specific race distance.
Equipment evaluationAnalyze the impact of different sports equipment on performance.
Frequently Asked Questions
Is it free?
How is data security ensured?
Which sports types are supported?
Can it analyze heart rate variability (HRV)?
Related resources
Strava developer documentation
Official API reference documentation
Example configuration repository
Configuration examples for various usage scenarios
MCP protocol specification
Technical standard of the Model Context Protocol
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