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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Breath-Hold Capacity Estimator with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Predict your apnea limits and build better training plans.

Included with plan

Ask AI about this Connector

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete Breath-Hold Capacity Estimator capability set.

These are the exact actions your AI can choose when you ask it to work with Breath-Hold Capacity Estimator.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Breath-Hold Capacity Estimator.

  1. 01

    Analyze training progress

    This capability evaluates how your recent training sessions have actually changed your estimated breath-hold capacities.

  2. 02

    Estimate dynamic apnea

    This capability predicts how long you can hold your breath while you are actively moving, like when you are swimming or surfing.

  3. 03

    Estimate static apnea

    This capability calculates your predicted breath-hold duration when you are staying completely still.

  4. 04

    Get training recommendations

    This capability provides specific training advice based on your current physiological stats and your personal goals.

One connector, every AI

Breath-Hold Capacity Estimator works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Breath-Hold Capacity Estimator to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 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 Breath-Hold Capacity Estimator, so you can see the experience inside your AI.

It does not authenticate your account with Breath-Hold Capacity Estimator. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Breath-Hold Capacity Estimator Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_fMBzDknbng43gCaxA8FKgtVFg83Bvn5urdlr1Y6k/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Breath-Hold Capacity Estimator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "breath-hold-capacity-estimator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_fMBzDknbng43gCaxA8FKgtVFg83Bvn5urdlr1Y6k/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

Guided setup for Claude? How to give Claude access to Breath-Hold Capacity Estimator

See all the AI clients this connector works with ↑

Who it's for

Built for the work Breath-Hold Capacity Estimator owners hand off.

This MCP is built for people who need to manage their oxygen efficiency and breath-hold limits.

  • 01

    Surfers

    They use the MCP to predict how long they can stay under during a session.

  • 02

    Apnea Athletes

    They use the MCP to model their physiological progress and training needs.

  • 03

    Freedivers

    They use the MCP to differentiate between static and dynamic performance limits.

FAQ

Questions Breath-Hold Capacity Estimator owners ask.

  • 01

    How does this MCP differ from a standard fitness tracker?

    This MCP focuses specifically on apnea physiology, distinguishing between motionless static holds and active dynamic holds like surfing.

  • 02

    What clients can I use this MCP with?

    You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 03

    Can I use this to improve my CO2 tolerance?

    Yes, you can ask your agent for training recommendations specifically designed to increase CO2 tolerance based on your current stats.

  • 04

    Do I need to host this myself?

    No, Vinkius hosts and manages the MCP for you, so it is ready to use as soon as you connect it.

  • 05

    How accurate are the apnea predictions?

    The predictions are based on the physiological data you provide, such as lung capacity and fitness levels.

  • 06

    What is the difference between static and dynamic apnea?

    Static apnea is holding your breath while remaining still, whereas dynamic apnea involves movement like swimming or duck-diving, which consumes oxygen faster.

  • 07

    How can I improve my training?

    You can use the get_training_recommendations capability to receive specific exercises based on your current static and dynamic capacities.

  • 08

    Can I track my progress over time?

    Yes, the analyze_training_progress capability allows you to evaluate how your training volume has influenced your capacity improvements.

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