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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Dependency Coupling Fitness Function with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Enforce clean architecture boundaries by validating dependency directions.

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 · 3 capabilities

The complete Dependency Coupling Fitness Function capability set.

These are the exact actions your AI can choose when you ask it to work with Dependency Coupling Fitness Function.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Dependency Coupling Fitness Function.

  1. 01

    Audit imports

    Performs a full architectural audit on a file by checking all its imports

  2. 02

    Check rule compliance

    Validates whether a dependency from one specific layer to another is permitted

  3. 03

    Identify layer

    Determines which architectural layer a specific file belongs to based on its path

Observed, not estimated

641ms average. Fast in production.

Dependency Coupling Fitness Function is checked daily against the live service.

Daily averagePeak 811ms
Aug 20Today
Fastest day
503ms
Slowest day
811ms
14-day trend
Slowing+13%

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 Dependency Coupling Fitness Function, so you can see the experience inside your AI.

It does not authenticate your account with Dependency Coupling Fitness Function. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Dependency Coupling Fitness Function Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_AIjFYDNp0NQuoqA4hNR7TJO7xqu86H4KlbXXlCJw/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 — Dependency Coupling Fitness Function capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "dependency-coupling-fitness-function-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_AIjFYDNp0NQuoqA4hNR7TJO7xqu86H4KlbXXlCJw/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 Dependency Coupling Fitness Function owners ask.

  • 01

    How does the server identify architectural layers?

    The identify_layer capability parses the file path and looks for specific directory markers to determine which layer (e.g., domain, data, or presentation) the file belongs to.

  • 02

    Can I use this to prevent circular dependencies?

    Yes, by using audit_imports with rules that forbid specific layer-to-layer connections, you can detect and block illegal dependency paths.

  • 03

    What AI clients are compatible?

    This server is accessible via Vinkius Edge and works with Cursor, VS Code, Claude Desktop, Windsurf, and any MCP-compatible client.

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