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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Workout Quality Index with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Quantify and analyze the multidimensional quality of your training sessions.

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 Workout Quality Index capability set.

These are the exact actions your AI can choose when you ask it to work with Workout Quality Index.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Workout Quality Index.

  1. 01

    Compare session to baseline

    Determine how a single session's performance deviates from the user's established norms

  2. 02

    Get quality trend

    Analyze how workout quality has changed over a specific period

  3. 03

    Get workout quality

    Calculate the holistic quality score and detailed breakdown for a specific workout session

  4. 04

    Identify bottlenecks

    Isolate which specific pillar is most significantly dragging down the total quality index

One connector, every AI

Workout Quality Index 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 Workout Quality Index 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 Workout Quality Index, so you can see the experience inside your AI.

It does not authenticate your account with Workout Quality Index. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Workout Quality Index Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_PV1eimdoUwb5T2wuyzqd2r4MdCdiXbJUnKByuVAg/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 — Workout Quality Index capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "workout-quality-index-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_PV1eimdoUwb5T2wuyzqd2r4MdCdiXbJUnKByuVAg/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 Workout Quality Index

See all the AI clients this connector works with ↑

FAQ

Questions Workout Quality Index owners ask.

  • 01

    How is the quality index calculated?

    The index is a composite value derived from RPE, volume, technique quality, and mental focus. High technique and focus scores act as multipliers for the effective volume.

  • 02

    Can I see how my training is progressing over time?

    Yes, you can use the get_quality_trend capability to analyze how your workout quality has changed over a specific date range.

  • 03

    What should I do if my quality score is low?

    You can use identify_bottlenecks to find the specific pillar--such as technique or focus--that is most significantly impacting your session quality.

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