Z-Score Standardizer

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{
  "mcpServers": {
    "elysiatools-data-zscore-normalizer": {
      "name": "data-zscore-normalizer",
      "description": "Standardize numerical data using Z-score (standard score) normalization to transform values with mean=0 and standard deviation=1. Perfect for statistical analysis, machine learning feature preprocessing, outlier detection, and data comparison across different scales.

Features:
- Z-score standardization (mean=0, std=1)
- Robust Z-score option (using median and MAD)
- Custom scaling to target range
- Multiple column selection
- Automatic data type detection
- Handles missing values intelligently
- Preserves non-numeric columns
- Comprehensive statistical summary
- Outlier detection and reporting

Common Use Cases:
- Machine learning feature preparation
- Statistical hypothesis testing
- Outlier detection and removal
- Data comparison across different units
- Principal Component Analysis (PCA) preprocessing",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=data-zscore-normalizer",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}