An astronaut overseeing a futuristic data hub

Connect Dependency Coupling Fitness Function to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Keep your codebase from turning into spaghetti.

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

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Dependency Coupling Fitness Function.

  1. 01

    Audit imports

    This capability performs a full architectural audit on a specific file by checking every import statement against your rules.

  2. 02

    Check rule compliance

    This capability validates whether a dependency between two specific layers is permitted under your current architecture.

  3. 03

    Identify layer

    This capability determines which architectural layer a file belongs to by analyzing its file path.

Real work

What teams actually run

01

Preventing Layer Leaks

Stop the presentation layer from directly accessing the data layer by enforcing strict dependency rules.

02

Onboarding New Developers

Use the agent to guide new contributors toward following the established architectural patterns.

03

Refactoring Large Codebases

Identify where existing dependencies violate your desired clean architecture state.

04

Automated Code Reviews

Let your AI agent flag architectural violations before they are even merged.

One connector, every AI

Dependency Coupling Fitness Function 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 Dependency Coupling Fitness Function 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.

Observed, not estimated

679ms average. Fast in production.

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

Daily averagePeak 889ms
Oct 3Today
Fastest day
600ms
Slowest day
889ms
14-day trend
Improving-16%

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

Guided setup for Claude? Set up Dependency Coupling Fitness Function in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Dependency Coupling Fitness Function owners hand off.

Software engineers and architects who need to maintain strict structural integrity in large codebases.

  • 01

    Software Architect

    Defines the structural rules that the AI agent then enforces across the team.

  • 02

    Backend Engineer

    Uses the agent to ensure new code doesn't break existing architectural patterns.

  • 03

    DevOps Engineer

    Integrates architectural checks into the development lifecycle.

FAQ

Questions Dependency Coupling Fitness Function owners ask.

  • 01

    How does this MCP identify architectural layers?

    It uses the file paths of your code to map files to specific logical layers you have defined.

  • 02

    Can I use this with Cursor or VS Code?

    Yes, this MCP works with any MCP-compatible client including Cursor, VS Code, and Windsurf.

  • 03

    What does it mean to audit imports?

    The capability checks every import statement in a file to see if it violates your defined architectural rules.

  • 04

    Does this replace my linting capabilities?

    It complements them by focusing specifically on high-level architectural boundaries rather than just syntax or style.

  • 05

    How do I define prohibited relationships?

    You set the rules that your agent uses to check if a dependency from one layer to another is permitted.

  • 06

    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.

  • 07

    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.

  • 08

    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.

Connect Dependency Coupling Fitness Function to Claude, Cursor, ChatGPT & more