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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Builder Iteration Learning Rate with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Analyzes learning velocity and execution efficiency in iterative development cycles.

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 Builder Iteration Learning Rate capability set.

These are the exact actions your AI can choose when you ask it to work with Builder Iteration Learning Rate.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Builder Iteration Learning Rate.

  1. 01

    Get iteration efficiency audit

    Provides a diagnostic overview by combining all metrics to identify if the builder is churning or stalling

  2. 02

    Get optimal cadence

    Recommends the ideal frequency for future iterations to maximize efficiency

  3. 03

    Get learning rate score

    Calculates the primary efficiency metric for a builder's current iteration cycle

  4. 04

    Get improvement trajectory

    Determines the momentum and direction of the builder's learning progress over time

Observed, not estimated

839ms average. Fast in production.

Builder Iteration Learning Rate is checked daily against the live service.

Daily averagePeak 904ms
Aug 28Today
Fastest day
726ms
Slowest day
904ms
14-day trend
Improving-5%

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 Builder Iteration Learning Rate, so you can see the experience inside your AI.

It does not authenticate your account with Builder Iteration Learning Rate. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Builder Iteration Learning Rate Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_e3VeUOBAKvMDcz7FVGFdPWuXXo6UnIPfMk2DGp2s/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 — Builder Iteration Learning Rate capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "builder-iteration-learning-rate-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_e3VeUOBAKvMDcz7FVGFdPWuXXo6UnIPfMk2DGp2s/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 Builder Iteration Learning Rate owners ask.

  • 01

    What is the Learning Rate Score?

    The Learning Rate Score is a normalized metric that represents the efficiency of your iteration loop by combining knowledge gain with implementation speed.

  • 02

    How can I identify if my process is stalling?

    You can use the get_iteration_efficiency_audit capability. Stalling is typically identified when the implementation rate is high but the number of learnings per iteration is near zero.

  • 03

    What does the optimal cadence recommendation mean?

    The get_optimal_cadence capability suggests the ideal frequency for future cycles. For example, if pivot frequency is high, it may suggest a longer interval to ensure stability.

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