Use simple-statistics with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Standardize (Z-Score) or MinMax scale numeric columns with mathematical perfection local. Essential normalization for neural networks and clustering algorithms.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 1 capability
The complete simple-statistics capability set.
These are the exact actions your AI can choose when you ask it to work with simple-statistics.
01
1 capability in this set.
Part of 1 available through simple-statistics.
- 01
Scale features
Deterministically Standardize (Z-Score) or MinMax Scale numeric columns offline
Observed, not estimated
865ms average. Fast in production.
simple-statistics is checked daily against the live service.
- Fastest day
- 676ms
- Slowest day
- 1149ms
- 14-day trend
- Slowing+16%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of simple-statistics, so you can see the experience inside your AI.
It does not authenticate your account with simple-statistics. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
simple-statistics Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_F7GwWGq3LmnuDkiU1owmlZfI1wLX3GKZ5metNm37/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — simple-statistics capabilities are ready to use.
{
"mcpServers": {
"feature-scaler-engine-mcp": {
"url": "https://edge.vinkius.com/vk_preview_F7GwWGq3LmnuDkiU1owmlZfI1wLX3GKZ5metNm37/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions simple-statistics owners ask.
- 01
What is the difference between Standard and MinMax scaling?
Standard scaling (Z-Score) centers data at 0 with a variance of 1, ideal for algorithms that assume normally distributed features. MinMax compresses all values precisely between 0 and 1, ideal for neural networks and distance-based algorithms.
- 02
Are the computed scaling parameters returned for inverse transforms?
Yes. The JSON response includes the exact Mean and Std Dev (for Standard) or Min and Max (for MinMax) used to scale each column, enabling precise inverse transformations when needed.
- 03
Can it scale 10+ columns at once?
Absolutely. Pass a JSON array of all column names and they will all be scaled simultaneously in memory. The engine processes each column independently with its own computed metrics.
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