Perceived Exertion Converter Connector for AI agents.
3 live capabilities
Track your heart rate and training zones using subjective effort levels.
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Why people use Perceived Exertion Converter
Perceived Exertion Converter for Accurate Training Zones
With this Connector, you just tell your agent how you feel. It handles the math and gives you a clear zone and coaching tip instantly. You get a clear picture of your workout intensity without the guesswork.
What Vinkius changes
You get objective training metrics from your own subjective feedback.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Training without a watch
A runner feels tired and uses the Borg scale to see if they're still in the aerobic zone or if they need to back off.
- Real-world use case 02
Gym progress tracking
A lifter uses CR10 to see if their intensity is high enough for hypertrophy or if they're coasting.
- Real-world use case 03
Coaching advice
An athlete asks for guidance on what to do next after a high-effort set to avoid burning out.
Complete set · 3capabilities
The complete Perceived Exertion Converter capability set.
These are the exact actions your AI can choose when you ask it to work with Perceived Exertion Converter.
01—03
3 capabilities in this set.
Part of 3 available through Perceived Exertion Converter.
- 01 Capability
Convert cr10 scale
Translates your CR10 effort level into physiological metrics like max capacity and heart rate. This helps you see your intensity as a percentage.
- 02 Capability
Get training guidance
Provides specific coaching advice and intensity descriptions based on your reported effort. It tells you what to do next based on how you feel.
- 03 Capability
Convert borg 6 20 scale
Converts your Borg 6-20 effort rating into estimated heart rate and training zones. Use this to get data from a standard subjective scale.
Set up in minutes
One URL. Then ask Perceived Exertion Converter to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Perceived Exertion Converter from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_pz0kETSEhhTslwXAZJiCp3lQKkkAWq6BLGdpeNvb/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Perceived Exertion Converter, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Perceived Exertion Converter for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_pz0kETSEhhTslwXAZJiCp3lQKkkAWq6BLGdpeNvb/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Perceived Exertion Converter URL.
- Step 03
Save and start
Save the connection and enable Perceived Exertion Converter in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"perceived-exertion-converter": {
"url": "https://edge.vinkius.com/vk_preview_pz0kETSEhhTslwXAZJiCp3lQKkkAWq6BLGdpeNvb/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Perceived Exertion Converter
Open Agent mode in chat and ask: "Using Perceived Exertion Converter, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"perceived-exertion-converter": {
"url": "https://edge.vinkius.com/vk_preview_pz0kETSEhhTslwXAZJiCp3lQKkkAWq6BLGdpeNvb/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Perceived Exertion Converter
Ask Copilot: "Using Perceived Exertion Converter, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"perceived-exertion-converter": {
"url": "https://edge.vinkius.com/vk_preview_pz0kETSEhhTslwXAZJiCp3lQKkkAWq6BLGdpeNvb/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Perceived Exertion Converter
Open Cascade and ask: "Using Perceived Exertion Converter, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"perceived-exertion-converter": {
"url": "https://edge.vinkius.com/vk_preview_pz0kETSEhhTslwXAZJiCp3lQKkkAWq6BLGdpeNvb/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Perceived Exertion Converter
Ask Cline: "Using Perceived Exertion Converter, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add perceived-exertion-converter --transport http "https://edge.vinkius.com/vk_preview_pz0kETSEhhTslwXAZJiCp3lQKkkAWq6BLGdpeNvb/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Perceived Exertion Converter
Ask Claude: "Using Perceived Exertion Converter, show me...". 3 tools are ready
Where the request belongs
Work Perceived Exertion Converter can move forward.
This is for runners, cyclists, and weightlifters who want to train smarter but don't want to be tethered to a chest strap or watch. It's for the athlete who values 'feel' but needs 'data' to ensure they aren't overtraining.
Endurance Athlete
A cyclist who wants to stay in the Aerobic zone during a long ride without checking a watch every minute.
Strength Coach
A trainer who needs a standardized way to track client effort across different types of exercises.
Fitness Enthusiast
Someone working out in a public gym who doesn't want to carry extra equipment but wants to track progress.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Heart Rate Zones Calculator
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Quantify training stress, detect overtraining risks, and generate recovery strategies.
Training Pace Calculator
Calculate running training intensity zones and race pace predictions based on performance or VO2max.
Recovery Readiness Score
Evaluate training readiness and optimal intensity based on sleep, soreness, stress, and motivation.
Cycling Power Calculator
Estimate cycling power requirements, FTP zones, and training stress.
Bring your own AI
Change the model, client or framework. Keep Perceived Exertion Converter connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
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Cline -
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Vercel AI SDK
Before you connect
Questions about Perceived Exertion Converter.
The practical details behind the request, access and result.
How does the Perceived Exertion Converter work?
It takes your subjective feeling of effort and converts it into estimated heart rate, training zones, and coaching advice using standard fitness scales.
Can I use the Perceived Exertion Converter without a heart rate watch?
Yes, that is exactly what it's for. It allows you to get data-driven insights even when you aren't wearing a heart rate monitor.
What is the Borg scale used for in training?
The Borg scale is a 6-20 scale used to rate how hard you are working. This Connector uses that rating to estimate your actual physiological output.
How does this help me train more effectively?
It helps you stay consistent. By turning 'how you feel' into a specific zone, you can ensure you're actually hitting your target goals for every workout.
Is the heart rate estimation accurate?
It provides a reliable estimate based on your reported effort and your max heart rate. It's a great way to stay in your zones without needing a chest strap.
Can this Connector give me coaching tips?
Yes, it provides qualitative descriptions and practical advice based on the effort level you report, helping you adjust your workout on the fly.
What is the Borg 6-20 scale?
The Borg 6-20 scale is a traditional method for measuring perceived physical exertion, where 6 represents no effort and 20 represents maximal intensity.
How accurate are the heart rate estimates?
The capability provides estimates based on the relative position of your RPE within the scale range applied to your maximum heart rate. It is a mathematical approximation for training guidance.
Can I use this without a heart rate monitor?
Yes, the primary purpose of these capabilities is to help you estimate intensity and training zones using only your subjective perception of effort.
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