Dependency Coupling Fitness Function MCP, Ready to Go
Use this MCP with Claude or Cursor to automatically audit software dependencies and prevent architectural decay in your codebase.
No credit card required. Experience the power of this integration risk-free.
Enforce clean architecture boundaries and prevent dependency rot.
Works with every AI agent you already use
…and any MCP-compatible client
How fast is the Dependency Coupling Fitness Function MCP Server?
Average time for the server to become ready for requests over the last 5 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this MCP on Vinkius Cloud, and connect it to your AI agent in seconds.
Waiting for input…
What AI agents can do with Dependency Coupling Fitness Function MCP: 3 Architecture Tools
Use these tools to automate dependency validation and enforce clean architecture boundaries.
Identify layer
Tells your agent which architectural layer a file belongs to by looking at its path. This makes managing large directory structures easy.
Audit imports
Scans every import in a file to see if they break your design rules. It catches illegal dependencies instantly.
Check rule compliance
Verifies if a specific connection between two layers is allowed under your current setup. It acts as an automated gatekeeper for your code.
One MCP enables access. Vinkius turns MCPs into production-ready infrastructure.
You're looking at one of 5,800+ managed MCPs. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.
No Shadow AI
Every agent action is visible, approved, and auditable. Nothing runs outside your governance.
Absolute agent control
Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.
Cost control per token
Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.
Managed & monitored infra
We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.
Data protection, DLP by design
Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.
Token optimization, real savings
Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.
Dependency Coupling Fitness Function stops architectural decay
Frequently Asked Questions
How does Dependency Coupling Fitness Function prevent bad code? +
It automatically checks if new imports violate your predefined architectural boundaries.
Can I use Dependency Coupling Fitness and Claude? +
Yes, you can connect this MCP to any compatible client like Claude or Cursor via Vinkius.
Does Dependency Coupling Fitness Function work for all languages? +
It works for any language where your agent can analyze file paths and import statements.
How do I define my architecture rules in Dependency Coupling Fitness Function? +
You define your layer mappings and prohibited dependencies in your project's configuration files.
Can Dependency Coupling Fitness Function help with refactoring? +
Yes, it ensures that moving code between directories doesn't accidentally break your architectural constraints.
How does the server identify architectural layers? +
The identify_layer tool parses the file path and looks for specific directory markers to determine which layer (e.g., domain, data, or presentation) the file belongs to.
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.
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.
Your AI, connected to everything.
No credit card required · Free tier available
Other MCPs in this category
Reversibility Architect Prover MCP
LLMs suggest irreversible architectural changes. This engine is a 6-pivot cognitive trap that forces the agent to map data rollbacks, blast radius, and canary deployments before executing.
CI/CD Pipeline Duration Analyzer MCP
Analyze CI/CD pipeline run data to identify bottlenecks, critical paths, and parallelization opportunities.
Kubernetes HPA Scaling Simulator MCP
Simulate Kubernetes Horizontal Pod Autoscaler behavior and stability.
Related MCPs
Softinn MCP
Orchestrate Softinn Hotel PMS. Manage reservations, rooms, and guest folios directly from any AI agent.
Olostep MCP
Scrape web pages at scale with a headless browser API that renders JavaScript and returns clean structured data instantly.
Tomorrow.io MCP
Tomorrow.io MCP connects your AI agent to hyperlocal weather data, including minute-by-minute precipitation, air quality indices, and wildfire risk. It lets you pull real-time atmospheric conditions and historical weather records for any location globally to build smarter risk models and logistics plans.