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Cyclomatic Complexity Calculator MCP, Ready to Go

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Quantify code maintainability and detect structural complexity in your codebase.

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 Cyclomatic Complexity Calculator MCP Server?

679ms Fast
Fast Acceptable Slow

Average time for the server to become ready for requests over the last 9 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 502ms
Average 679ms
Max 865ms
Trend (improving) ↓ 15%
Daily latency
759ms 7/15/2026
865ms 7/16/2026
694ms 7/17/2026
613ms 7/18/2026
737ms 7/19/2026
635ms 7/20/2026
704ms 7/21/2026
548ms 7/22/2026
502ms 7/23/2026
7/15/2026 7/23/2026

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AI Agent

What AI agents can do with

Analyze complexity

Analyateszes the cyclomatic and cognitive complexity of a specific code snippet or function.

Classify risk score

Maps a numeric complexity score to a human-readable risk level like High or Very High.

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.

Cyclomatic Complexity Calculator: Stop guessing about code maintainability

Software engineers, tech leads, and automated QA testers who need to move beyond gut feelings when evaluating codebase maintainabilityability.

Tech Leads

Use this to set maintainability standards and identify functions that are ripe for refactoring.

QA Engineers

Analyze code complexity to predict where bugs are most likely to occur in the logic heavy functions.

Frequently Asked Questions

What metrics does this tool calculate? +

The tool calculates Cyclomatic Complexity, which counts structural decision points, and Cognitive Complexity, which measures the mental effort required to understand the code.

How is risk level determined? +

Risk levels are assigned based on the cyclomatic score. You can use classify_risk_score to determine if a specific complexity value falls into Low, Moderate, High, or Very High categories.

Can I analyze an entire file? +

Yes, by providing the full content of a file to the analyze_complexity tool, you can evaluate the complexity of the provided code block.

Your AI, connected to everything.

No credit card required · Free tier available

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