• NORMALIZED
  • READY
  • LOCAL
  • HUMAN

How to apply minmax scaling with your AI

Connect this MCP to your AI client once. From there, your agent handles the math to squeeze your data into a fixed range.

Ask AI about this page

Short answer

How do I use minmax scaling with my AI?

Your agent uses the scale_features tool to map every value in a dataset to a 0 to 1 range. This prevents large numbers from drowning out smaller ones during model training. You get a clean, normalized dataset.

The results.

What your data looks like.

The scaling process turns raw numbers into a standardized format.

NORMALIZED

Values in range

The AI applies the scaling math to your input. Every number lands between 0 and 1.

READY

Model-ready data

The scaled output is formatted for machine learning. You can feed it straight into a training loop.

LOCAL

Private processing

All math happens through local processing. Your raw data stays within the controlled environment.

HUMAN

Review required

You decide which features need scaling and which should stay raw. The AI won't guess your intent.

The workflow

What your AI does when the data arrives.

The AI takes your raw numbers and runs them through a specific mathematical pipeline.

  1. Identify features

    Your agent looks at your dataset to find the columns you want to compress.

    scale_features

  2. Calculate bounds

    The AI finds the minimum and maximum values for every selected feature.

    scale_features

  3. Apply formula

    The engine runs the min-max calculation on every individual data point.

    scale_features

  4. Output results

    The AI returns the new, compressed values to your chat interface.

    scale_features

Try it

Copy these to start.

Use these prompts to trigger the scaling process immediately.

Starting points

Swap the bracketed text for your actual file names or column headers.

Feature Scaler Engine Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_F7GwWGq3LmnuDkiU1owmlZfI1wLX3GKZ5metNm37/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Feature Scaler Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "feature-scaler-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_F7GwWGq3LmnuDkiU1owmlZfI1wLX3GKZ5metNm37/mcp"
    }
  }
}
Copy into chat04

  • Scale the values in the 'price' column of my CSV file to a 0 to 1 range.

  • Apply minmax scaling to all numerical features in my dataset.

  • Use the scale_features tool to normalize the 'age' and 'income' columns in my spreadsheet.

  • Compress the feature values in my local data file using minmax scaling.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Feature Scaler Engine once, then ask.

Just click the link to connect. Your credentials stay encrypted, and you can start scaling data right away in your preferred client.

Connect Feature Scaler Engine to your AI

FAQ

How this task behaves.

  • 01

    Will the AI change my original data file?

    No. The AI processes the data and provides the scaled results, but it does not overwrite your source files.

  • 02

    Can the AI scale data to a range other than 0 to 1?

    No. This specific tool is built strictly for minmax scaling into a 0 to 1 range.

  • 03

    Does the AI handle non-numerical data?

    No. Scaling requires mathematical operations, so the AI can only process numerical features.

  • 04

    How does the AI know which columns to scale?

    You must tell the AI which specific columns or features you want to scale in your prompt.

  • 05

    Can the AI perform other types of normalization?

    No. This tool is dedicated to minmax scaling. Other normalization methods require different tools.

  • More questions about Feature Scaler Engine? The Connector page answers them. See everything the Feature Scaler Engine Connector can do

Connect Feature Scaler Engine to Claude, Cursor, ChatGPT & more