Cyclomatic Complexity Calculator Connector for AI agents.
2 live capabilities
Quantify code maintainability and detect structural complexity in your codebase.
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Why people use Cyclomatic Complexity Calculator
Cyclomatic Complexity Calculator: Stop guessing about code maintainability
With this Connector, your agent can instantly calculate the exact cyclomatic and cognitive complexity for any snippet or function. You get precise metrics instead of just an opinion on whether code is 'too complex'.
What Vinkius changes
You get an automated, data-driven approach to managing technical debt and technical debt management in code reviews.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Spotting refactoring targets in legacy code
A developer is reviewing a large, messy function and asks their agent to check the complexity.
- Real-world use case 02
Automatingating code quality standards during PRs
A QA engineer uses this Connector to set up an automated check in their workflow.
- Real-world use case 03
Get the result without leaving the conversation.
Complete set · 2capabilities
The complete Cyclomatic Complexity Calculator capability set.
These are the exact actions your AI can choose when you ask it to work with Cyclomatic Complexity Calculator.
01—02
2 capabilities in this set.
Part of 2 available through Cyclomatic Complexity Calculator.
- 01 Capability
Analyze complexity
Analyateszes the cyclomatic and cognitive complexity of a specific code snippet or function.
- 02 Capability
Classify risk score
Maps a numeric complexity score to a human-readable risk level like High or Very High.
Set up in minutes
One URL. Then ask Cyclomatic Complexity Calculator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Cyclomatic Complexity Calculator from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_n8RH3Mhb2gv4Wc5BFLU7GxBJQNDAj1N6U3CFYQXH/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Cyclomatic Complexity Calculator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Cyclomatic Complexity Calculator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_n8RH3Mhb2gv4Wc5BFLU7GxBJQNDAj1N6U3CFYQXH/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Cyclomatic Complexity Calculator URL.
- Step 03
Save and start
Save the connection and enable Cyclomatic Complexity Calculator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"cyclomatic-complexity-calculator": {
"url": "https://edge.vinkius.com/vk_preview_n8RH3Mhb2gv4Wc5BFLU7GxBJQNDAj1N6U3CFYQXH/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Cyclomatic Complexity Calculator
Open Agent mode in chat and ask: "Using Cyclomatic Complexity Calculator, help me...". 2 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"cyclomatic-complexity-calculator": {
"url": "https://edge.vinkius.com/vk_preview_n8RH3Mhb2gv4Wc5BFLU7GxBJQNDAj1N6U3CFYQXH/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Cyclomatic Complexity Calculator
Ask Copilot: "Using Cyclomatic Complexity Calculator, help me...". 2 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"cyclomatic-complexity-calculator": {
"url": "https://edge.vinkius.com/vk_preview_n8RH3Mhb2gv4Wc5BFLU7GxBJQNDAj1N6U3CFYQXH/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Cyclomatic Complexity Calculator
Open Cascade and ask: "Using Cyclomatic Complexity Calculator, help me...". 2 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"cyclomatic-complexity-calculator": {
"url": "https://edge.vinkius.com/vk_preview_n8RH3Mhb2gv4Wc5BFLU7GxBJQNDAj1N6U3CFYQXH/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Cyclomatic Complexity Calculator
Ask Cline: "Using Cyclomatic Complexity Calculator, help me...". 2 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add cyclomatic-complexity-calculator --transport http "https://edge.vinkius.com/vk_preview_n8RH3Mhb2gv4Wc5BFLU7GxBJQNDAj1N6U3CFYQXH/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Cyclomatic Complexity Calculator
Ask Claude: "Using Cyclomatic Complexity Calculator, show me...". 2 tools are ready
Where the request belongs
Work Cyclomatic Complexity Calculator can move forward.
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.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsAST Cyclomatic Complexity Calculator
Measure code maintainability by calculating exact cyclomatic complexity using regex-based decision point counting.
Code Climate
Manage code quality and engineering metrics via Code Climate. track repository grades, monitor snapshots, and audit test coverage directly from any AI agent.
Codecov
Manage test coverage and engineering metrics via Codecov. track coverage reports, monitor commit totals, and audit code quality directly from any AI agent.
Einstellung-Challenger Prover
AI models default to complex, familiar heuristics even when simpler solutions exist. This capability breaks suboptimal cognitive sets: identify default heuristics, search for counterexamples, map alternative paths, benchmark complexity metrics, and choose the most elegant solution.
DeepSource
Automate code quality monitoring via DeepSource. analyze issues, vulnerabilities, metrics, and report cards directly from any AI agent.
Test Assertion Density Calculator
Detects empty or ineffective test scaffolding by calculating the ratio of assertions to test blocks.
Bring your own AI
Change the model, client or framework. Keep Cyclomatic Complexity Calculator connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Cyclomatic Complexity Calculator.
The practical details behind the request, access and result.
What metrics does this capability calculate?
The capability 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 capability, you can evaluate the complexity of the provided code block.
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