Feature Scaler Engine MCP Server for VS Code CopilotGive VS Code Copilot instant access to 1 tools to Scale Features

Neural Networks and K-Means clustering algorithms fail spectacularly if features aren't normalized. If an LLM attempts to subtract the mean and divide by the standard deviation across 5,000 rows, it will hallucinate 90% of the math.

GitHub Copilot Agent mode brings Feature Scaler Engine data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 1 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

This MCP brings deterministic Feature Scaling to your AI using simple-statistics. The AI specifies whether it wants Standard scaling (Mean=0, Variance=1) or MinMax scaling (Range 0-1), and the engine flawlessly transforms the target columns in milliseconds — returning the exact computed metrics for auditability.

The Superpowers

• Flawless Normalization: No LLM math hallucinations — exact scaling computed by your CPU.
• Multi-Column Support: Scale multiple features simultaneously in a single call.
• Automated Metric Extraction: Returns the exact Means, Std Devs, Mins, and Maxs used for scaling.
• Data Privacy: Your sensitive training data stays entirely on your machine.

The Feature Scaler Engine MCP Server exposes 1 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.