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Use ml-kmeans with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Group complex data points into optimal clusters with deterministic, high-speed Euclidean K-Means classification.

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 ml-kmeans capability set.

These are the exact actions your AI can choose when you ask it to work with ml-kmeans.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through ml-kmeans.

  1. 01

    Calculate kmeans

    Performs deterministic K-Means clustering on a dataset

Observed, not estimated

834ms average. Fast in production.

ml-kmeans is checked daily against the live service.

Daily averagePeak 1105ms
Aug 20Today
Fastest day
704ms
Slowest day
1105ms
14-day trend
Slowing+7%

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 ml-kmeans, so you can see the experience inside your AI.

It does not authenticate your account with ml-kmeans. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

ml-kmeans Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_6Ww4kVrA1RFFv9i4y5sPargfFbR4nVocQXy4cCBt/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 — ml-kmeans capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "k-means-cluster-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_6Ww4kVrA1RFFv9i4y5sPargfFbR4nVocQXy4cCBt/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 ml-kmeans owners ask.

  • 01

    Is the clustering process fully deterministic?

    Yes, it guarantees consistent, mathematically precise assignments for every execution, completely avoiding LLM hallucination.

  • 02

    What kind of distance metric is used?

    The engine leverages standard Euclidean distance measurement, making it highly effective for uniform, continuous numeric datasets.

  • 03

    How fast is the data processing?

    Native execution within the Vinkius Edge runtime ensures that thousands of rows are fully clustered in mere milliseconds.

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