ROC AUC Evaluator MCP Server for CursorGive Cursor instant access to 1 tools to Calculate Roc Auc
GDPR Free for SubscribersCursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
Ask AI about this MCP Server for Cursor
The ROC AUC Evaluator MCP Server for Cursor is a standout in the Developer Tools category — giving your AI agent 1 tools to work with, ready to go from day one.
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Gemini{
"mcpServers": {
"roc-auc-evaluator": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
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}
}Vinkius Desktop App
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About ROC AUC Evaluator MCP Server
The Area Under the Receiver Operating Characteristic Curve (ROC AUC) is a vital metric for evaluating binary classification models. Because it involves sorting probabilities and integrating the area under a curve iteratively, Large Language Models are mathematically incapable of calculating exact AUC scores from raw arrays. The ROC AUC Evaluator offloads this task to local Node.js processes, instantly returning mathematically rigorous AUC metrics using the exact trapezoidal rule.
Cursor's Agent mode turns ROC AUC Evaluator into an in-editor superpower. Ask Cursor to generate code using live data from ROC AUC Evaluator and it fetches, processes, and writes. all in a single agentic loop. 1 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
The ROC AUC Evaluator MCP Server exposes 1 tools through the Vinkius. Connect it to Cursor in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 1 ROC AUC Evaluator tools available for Cursor
When Cursor connects to ROC AUC Evaluator through Vinkius, your AI agent gets direct access to every tool listed below — spanning binary-classification, model-evaluation, mathematical-computation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Calculate roc auc on ROC AUC Evaluator
Calculates the exact Area Under the ROC Curve (AUC) for binary classification
Connect ROC AUC Evaluator to Cursor via MCP
Follow these steps to wire ROC AUC Evaluator into Cursor. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Open MCP Settings
Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"Add the server config
mcp.json file that opensSave the file
Start using ROC AUC Evaluator
Why Use Cursor with the ROC AUC Evaluator MCP Server
Cursor AI Code Editor provides unique advantages when paired with ROC AUC Evaluator through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
ROC AUC Evaluator + Cursor Use Cases
Practical scenarios where Cursor combined with the ROC AUC Evaluator MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Example Prompts for ROC AUC Evaluator in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with ROC AUC Evaluator immediately.
"I have true binary outcomes and the predicted probability scores from my model. Calculate the exact ROC AUC score."
"Here are 50 true labels and 50 probabilities. Can you use the ROC evaluator and tell me if my model performs better than random guessing (AUC > 0.5)?"
"I have probability arrays for Model A and Model B for the same actual test set. Find the AUC for both and tell me which one is superior."
Troubleshooting ROC AUC Evaluator MCP Server with Cursor
Common issues when connecting ROC AUC Evaluator to Cursor through Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
ROC AUC Evaluator + Cursor FAQ
Common questions about integrating ROC AUC Evaluator MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
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