MCP For Claude Marketplace
Sports Practice Hours

Sports Practice Hours MCP Connector for Claude

A+

Analyze athletic training duration, frequency, and overtraining risk.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides tools to aggregate and analyze athletic training data. It allows AI agents to calculate total training load using get_total_duration, monitor training frequency with get_session_frequency, evaluate session regularity via get_training_consistency, and identify potential injury risks through assess_overtraining_risk.

athleticstraininghealthperformancedata-analysis

4 tools expose this connector's capabilities to your AI agent.

get_session_frequency

Determines how many individual training sessions were completed in a specific timeframe

get_total_duration

Calculates the cumulative time spent practicing across all sessions within a given period

get_training_consistency

Analyzes the regularity of training sessions to identify patterns or gaps

assess_overtraining_risk

Evaluates if the current training volume poses a risk to the athlete

See how to talk to your AI agent using Sports Practice Hours.

How many hours did I train between January 1st and January 31st, 2024?

You trained for a total of 12.5 hours during January 2024.

Am I at risk of overtraining based on my sessions this month?

Your risk level is Low. Your training volume and frequency are within safe parameters.

How many practice sessions did I complete last week?

You completed 4 practice sessions last week.

You can use the `get_total_duration` tool by providing a start and end date in ISO 8601 format.

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