How to Use the K-Means Cluster Engine MCP in Claude

Q: How do I set up K-Means Cluster Engine with Claude Desktop?

Open your config file at /Library/Application Support/Claude/claudedesktopconfig.json. Add the server under the mcpServers key, restart the app, and you'll see the hammer icon in your chat.

Q: Is the K-Means Cluster Engine output deterministic in Claude Desktop?

Yes. Given the same input points and K value, calculatekmeans produces identical cluster assignments every time you run it.

Group your data instantly inside Claude Desktop. Stop guessing segments and start using deterministic K-Means math.

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Create your Vinkius account to connect K-Means Cluster Engine to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup K-Means Cluster Engine with Claude Desktop

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Run K-Means Cluster Engine in Claude Desktop

This MCP Server brings raw computational geometry to your chat window. You send your dataset to the `calculate_kmeans` tool, and the engine immediately returns grouped centroids. It works locally on your machine via stdio. You keep your data off external servers while the AI processes your user or metric groups.

Deterministic grouping for your projects

Stop relying on fuzzy logic or manual sorting. The `calculate_kmeans` tool forces your data into clear, distinct buckets based on Euclidean distance. Claude Desktop calls the tool, receives the coordinates, and explains the resulting segments. It's math-first analysis that works every time you run it.

High-speed data classification

Performance matters when you're iterating on models. The `calculate_kmeans` engine handles thousands of records in milliseconds. Claude Desktop executes the request and displays the output without lag. You spend less time waiting for results and more time adjusting your cluster count.

Setup guide

Set up K-Means Cluster Engine MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The K-Means Cluster Engine MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the K-Means Cluster Engine MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under k-means-cluster-engine-mcp.

json

{
  "mcpServers": {
    "k-means-cluster-engine-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ml-kmeans. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about K-Means Cluster Engine MCP in Claude Desktop

Open your config file at ~/Library/Application Support/Claude/claude_desktop_config.json. Add the server under the mcpServers key, restart the app, and you'll see the hammer icon in your chat.

No. The server runs as a local subprocess on your machine, meaning your data never leaves your computer during the clustering process.

Claude Desktop receives the raw centroid data from the tool. You can ask the AI to render charts or tables based on the returned values.

Yes. Given the same input points and K value, `calculate_kmeans` produces identical cluster assignments every time you run it.

The server processes your data locally on your machine. No sensitive user IDs or behavioral metrics are transmitted over the web.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.