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AST Cyclomatic Complexity Calculator MCP, Ready to Go

Use Claude or Cursor with this AST Cyclomatic Complexity Calculator MCP to find complex code and prevent technical debt in your JavaScript projects.

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Measure and audit code maintainability with automated static analysis.

AST Cyclomatic Complexity Calculator MCP for AI Agents

Works with every AI agent you already use

…and any MCP-compatible client

Cursor AI Code EditorClaude Desktop AppOpenAI Agents SDKVisual Studio CodeGitHub Copilot AI AgentGoogle Gemini AILovable AI DevelopmentMistral AI AgentsAmazon AWS Bedrock

How fast is the AST Cyclomatic Complexity Calculator MCP Server?

662ms Fast
Fast Acceptable Slow

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.

Min 517ms
Average 662ms
Max 2504ms
Trend (improving) ↓ 56%
Daily latency
2504ms 7/18/2026
696ms 7/19/2026
765ms 7/20/2026
677ms 7/21/2026
568ms 7/22/2026
517ms 7/23/2026
7/18/2026 7/23/2026

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AI Agent

What AI agents can do with AST Cyclomatic Complexity Calculator: 3 analysis tools

Use these tools to measure, compare, and identify complex code paths.

Analyze complexity

Scans your source code to calculate the number of independent paths through each function. It gives you a clear view of how complex your logic actually is.

Compare complexity impact

Compares complexity scores between two different versions of your code. This helps you see if a new feature added too much unnecessary logic.

Identify refactor candidates

Finds specific functions that have crossed your complexity threshold. It points you directly to the parts of your code that are getting too hard to test or maintain.

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.

01

No Shadow AI

Every agent action is visible, approved, and auditable. Nothing runs outside your governance.

02

Absolute agent control

Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.

03

Cost control per token

Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.

04

Managed & monitored infra

We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.

05

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.

06

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 technical debt from growing with AST Cyclomatic Complexity Calculator

Software engineers and tech leads who can't afford technical debt creeping into their main branch.

Tech Lead

Reviewing pull requests for complexity spikes that could lead to bugs.

Frontend Engineer

Managing complex TypeScript logic within large, nested components.

DevOps Engineer

Ensuring code maintainability during automated CI/CD audits.

Frequently Asked Questions

How can I use AST Cyclomatic Complexity Calculator to improve my code reviews? +

You can ask your agent to run audits on every pull request. This allows you to see if a developer has introduced overly complex logic that will be difficult for others to maintain later.

Can the AST Cyclomatic Complexity Calculator detect regressions in my TypeScript files? +

Yes, it is designed to compare two different versions of your code. It will tell you exactly how much the complexity changed and if a regression occurred.

Is the AST Cyclomatic Complexity Calculator useful for large legacy projects? +

Absolutely. It helps you identify the messiest parts of an old codebase so you can prioritize which functions need refactoring first.

Does the AST Cyclomatic Complexity Calculator work with JavaScript? +

Yes, it scans your source files for control flow keywords and logical operators to calculate complexity scores accurately.

How do I identify which functions need refactoring using this MCP? +

You can simply ask your agent to scan a file or directory. It will flag any functions that cross the complexity threshold you have set.

How is complexity calculated? +

The tool counts decision points like if, for, while, and logical operators (&&, ||) within a function, then adds 1 to the total count.

What does it mean if a function is a refactor candidate? +

A function is flagged via identify_refactor_candidates when its complexity score exceeds 10, indicating it has too many execution paths and is difficult to maintain.

Can I use this to check for regressions? +

Yes, the compare_complexity_impact tool allows you to compare two code snippets and see if changes increased the complexity or introduced a regression.

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