Use Lactate Threshold Estimator with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Estimate metabolic lactate thresholds using effort-based metrics or heart rate drift analysis.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 3 capabilities
The complete Lactate Threshold Estimator capability set.
These are the exact actions your AI can choose when you ask it to work with Lactate Threshold Estimator.
01-03
3 capabilities in this set.
Part of 3 available through Lactate Threshold Estimator.
- 01
Estimate mlss
Estimate MLSS parameters based on a sustainable effort
- 02
Generate zones
Generate training zones based on a discovered threshold
- 03
Detect hr drift
Detect the HR drift threshold from time-series data
Observed, not estimated
664ms average. Fast in production.
Lactate Threshold Estimator is checked daily against the live service.
- Fastest day
- 488ms
- Slowest day
- 839ms
- 14-day trend
- Slowing+41%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Lactate Threshold Estimator, so you can see the experience inside your AI.
It does not authenticate your account with Lactate Threshold Estimator. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Lactate Threshold Estimator Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_517JLk8fbZ9o9yNBVIHfaqcSz8CynDAMBuXsidVE/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 — Lactate Threshold Estimator capabilities are ready to use.
{
"mcpServers": {
"lactate-threshold-estimator-mcp": {
"url": "https://edge.vinkius.com/vk_preview_517JLk8fbZ9o9yNBVIHfaqcSz8CynDAMBuXsidVE/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions Lactate Threshold Estimator owners ask.
- 01
How does the MLSS estimation work?
The estimate_mlss capability uses a sustainable effort (like a pace or power you can hold for about an hour) to calculate your threshold intensity, pace, and power relative to your VO2max.
- 02
What is required for HR drift detection?
To use detect_hr_drift, you need sequential arrays of heart rate, workload (power or pace), and elapsed time in seconds recorded during a steady-state exercise session.
- 03
Can I update my training zones automatically?
Yes. After identifying a threshold via MLSS or drift, you can use generate_zones to recalculate five specific intensity ranges based on your athlete level (Beginner, Intermediate, or Advanced).
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