# Sports Practice Hours AI Agent Connect

> Sports Practice Hours MCP gives your AI client the ability to process athletic training data. It calculates total practice time, tracks how often you train, monitors session consistency, and flags potential overtraining risks to keep athletes performing safely.

## Overview
- **Category:** analytics
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_A63Z7zNQ7JeRO2crVE4RKpuFRKbpiqsrSCgLY47B/ai-agent-connect
- **Tags:** athletics, training, health, performance, data-analysis

## Description

You can use this MCP to give your AI agent a deep understanding of athletic workloads. Instead of manually digging through training logs, you can ask your AI client to handle the heavy lifting. It pulls together raw session data to show you exactly how much time is being spent on the field or in the gym. You can check if your training schedule is staying consistent or if you're starting to miss sessions. Most importantly, it helps you stay ahead of injuries by analyzing whether your current volume is pushing you toward overtraining. It's a direct way to turn raw training numbers into a clear picture of physical readiness and workload management.

## Tools

### get_session_frequency
This tool counts how many individual training sessions you completed during a specific window. It's how you track how often you're actually getting work in.

### get_total_duration
This tool sums up the total time spent practicing across all sessions in a given period. It gives you the big picture of your cumulative workload.

### get_training_consistency
This tool looks at the regularity of your training sessions. It identifies if you're following a steady pattern or if there are gaps in your schedule.

### assess_overtraining_risk
This tool checks if your current training volume is becoming dangerous for the athlete. It evaluates whether you're pushing too hard and risking injury.

## Prompt Examples

**Prompt:** 
```
How many hours did I train between January 1st and January 31st, 2024?
```

**Response:** 
```
You trained for a total of 12.5 hours during January 2024.
```

**Prompt:** 
```
Am I at risk of overtraining based on my sessions this month?
```

**Response:** 
```
Your risk level is Low. Your training volume and frequency are within safe parameters.
```

**Prompt:** 
```
How many practice sessions did I complete last week?
```

**Response:** 
```
You completed 4 practice sessions last week.
```

## Capabilities

### Workload Calculation
Your agent uses this to find the total time spent training over any period.

### Frequency Tracking
Your AI client uses this to count how many sessions occurred in a timeframe.

### Consistency Audits
Your agent uses this to spot gaps or patterns in training schedules.

### Injury Risk Assessment
Your AI client uses this to evaluate if training volume is hitting dangerous levels.

## Use Cases

### Injury Prevention
Ask your agent to check if your recent training spikes put you at risk of overtraining.

### Progress Tracking
Have your AI client calculate your total training hours for the month to see if you're meeting goals.

### Schedule Auditing
Use the consistency tool to see if you've been skipping sessions lately.

### Volume Monitoring
Check how many sessions you've completed in a week to manage your weekly load.

## Benefits

- Reduces manual math by automating training duration totals.
- Identifies overtraining risks before they lead to injury.
- Spots gaps in training schedules through consistency checks.
- Provides instant summaries of training frequency.

## How It Works

Getting this running with your AI client takes just a few steps.

1. Connect your preferred MCP-compatible client to Vinkius.
2. Select the Sports Practice Hours MCP from the catalog.
3. Grant the necessary permissions for your agent to access training data.
4. Start asking your AI client questions about training duration, frequency, or risk.

## Frequently Asked Questions

**What can this MCP do with my training data?**
It allows your AI client to calculate total training time, check session frequency, analyze consistency, and assess overtraining risks.

**Which AI clients can I use with this MCP?**
You can use this with any MCP-compatible client like Claude, Cursor, Windsurf, or VS Code.

**Do I need to host the MCP myself?**
No. Vinkius hosts and manages the MCP for you, so it is ready to use immediately after you connect.

**Can it help me prevent injuries?**
Yes. It uses the assess_overtraining_risk tool to evaluate if your current training volume is too high.

**How does it track my training consistency?**
The get_training_consistency tool analyzes your session history to find patterns or gaps in your training.

**How can I check my total training time?**
You can use the `get_total_duration` tool by providing a start and end date in ISO 8601 format.

**Can this tool help prevent injury?**
Yes, the `assess_overtraining_risk` tool evaluates training volume and frequency to identify potential risks of burnout or injury.

**How is training consistency measured?**
The `get_training_consistency` tool calculates the average interval between sessions and detects if any gaps exceed the standard threshold.