Feature Scaler Engine MCP Server for Claude CodeGive Claude Code 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.

Claude Code registers Feature Scaler Engine as an MCP server in a single terminal command. Once connected, Claude Code discovers all 1 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Feature Scaler Engine data drives decisions without human intervention.

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 Claude Code in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.