- LOAD
- EFFICIENCY
- ZONES
- HUMAN
Short answer
How can I use AI to check my training intensity?
Your AI pulls heart rate and power data from Strava and compares it to your specific athlete zones. This shows you exactly how much strain a workout put on your body. You'll see the specific physiological outcomes below.
Training outcomes
What you get from the analysis
The AI processes your raw data into these specific insights.
LOAD
Strain assessment
The AI compares your heart rate against your zones to tell you if you were in a recovery or threshold state.
EFFICIENCY
Power vs Heart Rate
By looking at power output and heart rate together, your agent identifies if your aerobic efficiency is improving.
ZONES
Zone validation
The AI checks your recent activity against your current athlete zones to ensure your training targets are accurate.
HUMAN
Manual review
You decide if the AI's interpretation of your fatigue matches how you actually feel physically.
The workflow
What your AI does when the data arrives.
The AI moves through your Strava data to build a profile of your effort.
Fetch your zones
The AI pulls your personalized heart rate and power thresholds to use as a baseline for all calculations.
get_athlete_zonesPull activity data
It grabs the specific data streams from your recent workouts, including heart rate and power metrics.
get_activity_streamsMap activity to zones
The agent compares the raw data from your ride or run against the activity zones defined in your profile.
get_activity_zonesCalculate strain
Using the mapped data, the AI calculates your physiological strain and summarizes your training intensity.
get_activity_zones
Try it
Copy these to start.
Use these prompts to begin your analysis.
Starting points
Swap out the activity names or timeframes to get specific results.
Strava Training Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_P9r4wKslJ3RfAwXBvnfpZrjEe6iWIV7E0EYsAMRG/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Strava Training capabilities are ready to use.
{
"mcpServers": {
"strava-training-mcp": {
"url": "https://edge.vinkius.com/vk_preview_P9r4wKslJ3RfAwXBvnfpZrjEe6iWIV7E0EYsAMRG/mcp"
}
}
}Compare my heart rate from my last ride to my current athlete zones.
Analyze the intensity of my run from yesterday and tell me if I stayed in Zone 2.
Look at my power data from this morning's workout and check it against my power zones.
Summarize my training strain for the last seven days based on my Strava activities.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Strava Training once, then ask.
Just link your account once. Your login stays encrypted and secure, and you can immediately start asking questions about your data.
Connect Strava Training to your AIFAQ
How this task behaves
- 01
Can the AI change my zones in Strava?
No. The AI can only read your existing zones to perform calculations. You must update zones manually in Strava.
- 02
Can the AI delete my activities?
No. This MCP only has permission to read data. It cannot modify or delete anything in your Strava account.
- 03
Does it work with Garmin data?
It works with any data that is synced to your Strava account.
- 04
Can the AI create new workouts for me?
No. The AI analyzes the data you have already recorded; it does not have the capability to write new activities to Strava.
- 05
How does it know my power zones?
It uses the get_athlete_zones tool to pull your specific thresholds directly from your profile.
More questions about Strava Training? The Connector page answers them. See everything the Strava Training Connector can do
Connect Strava Training to Claude, Cursor, ChatGPT & more
