Circular Code Dependency Detector MCP, Ready to Go
Use Claude or Cursor with the Circular Code Dependency Detector MCP to find and fix circular imports in your JavaScript and Python projects.
No credit card required. Experience the power of this integration risk-free.
Stop import cycles and analyze module coupling in JavaScript and Python projects.
Works with every AI agent you already use
…and any MCP-compatible client
How fast is the Circular Code Dependency Detector MCP Server?
Average time for the server to become ready for requests over the last 6 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.
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What AI agents can do with 3 Tools in Circular Code Dependency Detector for dependency analysis
Use these tools to map dependencies and detect loops in your code.
Compute coupling metrics
Calculates how much a specific module relies on others. It helps you see if a file is too tightly bound to the rest of your project.
Detect cycles
Locates exact paths where imports loop back on themselves. This prevents frustrating runtime errors.
Scan dependencies
Looks through your directory to build a complete dependency map. It is the first step in understanding your project architecture.
One MCP enables access. Vinkius turns MCPs into production-ready infrastructure.
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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.
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Token optimization, real savings
Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.
Stop breaking your builds with Circular Code Dependency Detector analysis
Software engineers struggling with messy, tightly coupled codebases in JavaScript or Python.
Frontend Engineer
Managing complex React or TypeScript dependency trees to prevent build failures.
Backend Developer
Tracking Python module imports to ensure clean, modular service architectures.
DevOps Engineer
Ensuring clean builds and preventing runtime initialization errors during deployment.
Frequently Asked Questions
How can I find circular imports in my JavaScript project using Circular Code Dependency Detector? +
You can simply ask your AI client to scan your directory. The MCP will identify any loops and show you the exact file path causing the issue.
Can Circular Code Dependency Detector help with Python dependency issues? +
Yes, it is specifically designed to handle Python module imports, helping you find cycles that cause runtime errors during startup.
Does Circular Code Dependency Detector work with TypeScript? +
Absolutely. It works perfectly with TypeScript projects to help you manage complex import trees and prevent build-time failures.
Can I use this MCP to see which modules are the most important in my project? +
Yes, by looking at the coupling metrics, you can identify modules with high in-degree counts, which are your most critical dependencies.
Will Circular Code Dependency Detector slow down my coding workflow? +
No, it actually speeds things up by automating the tedious process of manual dependency tracing and error hunting.
How do I start detecting cycles in my project? +
First, use the scan_dependencies tool on your project directory to generate a dependency map. Then, pass that map into detect_cycles to see all identified loops.
Can I analyze Python projects? +
Yes, the scanner supports python syntax alongside javascript and typescript.
What are coupling metrics? +
They quantify module interdependence. By using compute_coupling_metrics, you can see the in-degree and out-degree of a module to find high-risk files.
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