ROC AUC Evaluator MCP Server for WindsurfGive Windsurf instant access to 1 tools to Calculate Roc Auc
Windsurf brings agentic AI coding to a purpose-built IDE. Connect ROC AUC Evaluator through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
Ask AI about this MCP Server for Windsurf
The ROC AUC Evaluator MCP Server for Windsurf is a standout in the Developer Tools category — giving your AI agent 1 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
{
"mcpServers": {
"roc-auc-evaluator": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install ROC AUC Evaluator and 4,000+ MCP Servers from a single visual interface.





* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
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.
Windsurf's Cascade agent chains multiple ROC AUC Evaluator tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 1 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
The ROC AUC Evaluator MCP Server exposes 1 tools through the Vinkius. Connect it to Windsurf 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 Windsurf
When Windsurf 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 Windsurf via MCP
Follow these steps to wire ROC AUC Evaluator into Windsurf. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Open MCP Settings
Cmd+Shift+P and search "MCP"Add the server
mcp_config.jsonSave and reload
Start using ROC AUC Evaluator
Why Use Windsurf with the ROC AUC Evaluator MCP Server
Windsurf provides unique advantages when paired with ROC AUC Evaluator through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 1 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
ROC AUC Evaluator + Windsurf Use Cases
Practical scenarios where Windsurf combined with the ROC AUC Evaluator MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from ROC AUC Evaluator and generate models, types, or handlers based on real API responses
Live debugging: query ROC AUC Evaluator tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from ROC AUC Evaluator and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine ROC AUC Evaluator data with Cascade's code generation to scaffold entire features in minutes
Example Prompts for ROC AUC Evaluator in Windsurf
Ready-to-use prompts you can give your Windsurf 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 Windsurf
Common issues when connecting ROC AUC Evaluator to Windsurf through Vinkius, and how to resolve them.
Server not connecting
ROC AUC Evaluator + Windsurf FAQ
Common questions about integrating ROC AUC Evaluator MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Explore More MCP Servers
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