ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Working Set Weight Selector with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Dynamically adjust training loads using RPE, fatigue, and performance data.

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 Working Set Weight Selector capability set.

These are the exact actions your AI can choose when you ask it to work with Working Set Weight Selector.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Working Set Weight Selector.

  1. 01

    Get intensity guidance

    Provide qualitative feedback on the perceived difficulty of the planned session

  2. 02

    Calculate working weight

    Determine the primary load for the intended training sets

  3. 03

    Generate warmup progression

    Provide a ramp-up sequence to prepare for the working weight

  4. 04

    Validate session readiness

    Evaluate if the user should proceed with the planned load

One connector, every AI

Working Set Weight Selector 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.

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

You don't need a client to put Working Set Weight Selector 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 Working Set Weight Selector, so you can see the experience inside your AI.

It does not authenticate your account with Working Set Weight Selector. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Working Set Weight Selector Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Um9cBxZNIV3smfE1SwFUOVb0s46mJbeJAmqToxB3/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 — Working Set Weight Selector capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "working-set-weight-selector-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Um9cBxZNIV3smfE1SwFUOVb0s46mJbeJAmqToxB3/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 Working Set Weight Selector

See all the AI clients this connector works with ↑

FAQ

Questions Working Set Weight Selector owners ask.

  • 01

    How does the weight selection work?

    The capability uses your recent performance weight, your target RPE, and your current fatigue level to calculate a recommended working weight through an auto-regulation algorithm.

  • 02

    Can I use this for hypertrophy training?

    Yes, you can use get_intensity_guidance to confirm if your chosen RPE and rep goal fall within the hypertrophy training zone.

  • 03

    What if I feel too tired to train?

    You should use validate_session_readiness to check if your current fatigue level makes the intended intensity unsafe.