Download PDFMarkdown Version
ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use ml-distance with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate mathematically perfect Cosine, Euclidean, Manhattan, and Chebyshev distances between high-dimensional vectors local. Essential for embedding compariso

Included with plan

Ask AI about this Connector

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 1 capability

The complete ml-distance capability set.

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

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through ml-distance.

  1. 01

    Calculate distance

    Calculate exact distances (Cosine, Euclidean, Manhattan) between high-dimensional vectors/embeddings offline

Observed, not estimated

839ms average. Fast in production.

ml-distance is checked daily against the live service.

Daily averagePeak 1208ms
Aug 20Today
Fastest day
654ms
Slowest day
1208ms
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 ml-distance, so you can see the experience inside your AI.

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

ml-distance Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_y2uLWGNkX2DGyvuukg2OciAQezxFmCM92SNAHYKa/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-distance capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "distance-metrics-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_y2uLWGNkX2DGyvuukg2OciAQezxFmCM92SNAHYKa/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-distance owners ask.

  • 01

    Is Cosine distance the same as Cosine similarity?

    No, Cosine Distance equals 1 minus Cosine Similarity. The engine returns both exact values in the JSON response so you always have the complete picture.

  • 02

    Can it compare 1536-dimensional embeddings like OpenAI's?

    Yes! It processes any equal-length array instantly. 1536-dimensional vectors are evaluated in milliseconds local, with exact floating-point precision.

  • 03

    What if the two vectors have different lengths?

    The engine enforces a strict validation constraint and throws a clear error. Both arrays must be mathematically equal in length. there is no silent truncation or padding.

Explore

More in Developer Tools

Suggestions