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Use simple-statistics with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Identify statistical anomalies in massive datasets local using deterministic Z-Score and IQR methods. Stop LLMs from guessing which rows are outliers.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

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.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through simple-statistics.

  1. 01

    Detect outliers

    Deterministically identify statistical outliers in datasets using Z-Score or IQR methods

Observed, not estimated

900ms average. Fast in production.

simple-statistics is checked daily against the live service.

Daily averagePeak 1072ms
Aug 20Today
Fastest day
670ms
Slowest day
1072ms
14-day trend
Slowing+17%

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.

Connector linkhttps://edge.vinkius.com/vk_preview_dfkaEjEHL0xoHc706KKIKrxSgf6YRwqXhyMOeE7z/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 — simple-statistics capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "outlier-detection-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_dfkaEjEHL0xoHc706KKIKrxSgf6YRwqXhyMOeE7z/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 Z-Score and IQR?

    Z-Score assumes data is normally distributed and is sensitive to extreme outliers. IQR is based on percentiles (25th and 75th), making it robust and ideal for skewed or non-normal data.

  • 02

    Can I customize the outlier sensitivity threshold?

    Yes! You set the threshold parameter: typically 3 for Z-Score (flagging values beyond 3 standard deviations) or 1.5 for IQR (the standard Tukey fence multiplier).

  • 03

    Does it automatically remove the outliers?

    No. The engine flags the outliers and provides their exact Z-Scores or IQR bounds so the AI can report them to you. The decision to drop or keep them remains with you.

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