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Connect K-Means Cluster Engine to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Get mathematically precise clusters without probabilistic guesswork.

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

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through K-Means Cluster Engine.

  1. 01

    Calculate kmeans

    This capability performs deterministic K-Means clustering on your provided dataset to find optimal groupings.

Real work

What teams actually run

01

Customer Segmentation

Group users into value tiers based on spending and frequency data.

02

Anomaly Detection

Separate standard server traffic from suspicious access patterns.

03

Spatial Routing

Turn raw latitude and longitude coordinates into distinct geographic zones.

04

Pattern Recognition

Identify hidden structures in complex multidimensional datasets.

Automate a task

Put K-Means Cluster Engine to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

K-Means Cluster Engine works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put K-Means Cluster Engine to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

949ms average. Fast in production.

K-Means Cluster Engine is checked daily against the live service.

Daily averagePeak 1127ms
Oct 3Today
Fastest day
725ms
Slowest day
1127ms
14-day trend
Slowing+6%

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 K-Means Cluster Engine, so you can see the experience inside your AI.

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

K-Means Cluster Engine 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 — K-Means Cluster Engine 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

Guided setup for Claude? Set up K-Means Cluster Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work K-Means Cluster Engine owners hand off.

Data professionals and developers who need to move beyond LLM guesswork for pattern recognition.

  • 01

    Data Analysts

    They hand off large arrays of user or transaction data to get precise segments.

  • 02

    DevOps Engineers

    They use it to separate normal network traffic from anomalous or malicious patterns.

  • 03

    Logistics Coordinators

    They provide coordinate sets to define geographic service zones or hubs.

FAQ

Questions K-Means Cluster Engine owners ask.

  • 01

    How is this different from asking an LLM to group data?

    LLMs use probability to guess patterns, which is often inaccurate for large datasets. This MCP uses a deterministic K-Means algorithm to ensure every point is assigned to the mathematically correct cluster.

  • 02

    What clients can I use with this MCP?

    You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 03

    Do I need to host the math engine myself?

    No. Vinkius hosts and manages the MCP, so it is ready to use as soon as you connect your client.

  • 04

    Can I use this for geographic data?

    Yes. It is highly effective for clustering latitude and longitude coordinates into specific zones.

  • 05

    Is the clustering result consistent?

    Yes. Because it uses a deterministic algorithm, the results are stable and repeatable.

  • 06

    Is the clustering process fully deterministic?

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

  • 07

    What kind of distance metric is used?

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

  • 08

    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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