Feature Scaler Engine MCP Server for ClineGive Cline 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.

Cline operates autonomously inside VS Code. it reads your codebase, plans a strategy, and executes multi-step tasks including Feature Scaler Engine tool calls without waiting for prompts between steps. Connect 1 tools through Vinkius and Cline can fetch data, generate code, and commit changes in a single autonomous run.

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