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Use Keyword Proximity Checker with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Analyze text to measure the word distance between keywords for SEO relevance.

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 · 3 capabilities

The complete Keyword Proximity Checker capability set.

These are the exact actions your AI can choose when you ask it to work with Keyword Proximity Checker.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Keyword Proximity Checker.

  1. 01

    Get word distance

    Calculate the exact number of words separating two specific keywords in a given text

  2. 02

    Detect keyword clusters

    Identify clusters where multiple keywords appear near each other

  3. 03

    Evaluate proximity status

    Determine if specific pairs of keywords meet a predefined proximity threshold

Observed, not estimated

662ms average. Fast in production.

Keyword Proximity Checker is checked daily against the live service.

Daily averagePeak 799ms
Aug 20Today
Fastest day
530ms
Slowest day
799ms
14-day trend
Stable-2%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive 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 Keyword Proximity Checker, so you can see the experience inside your AI.

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

Keyword Proximity Checker Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Yem3wGKJqrGOkrO4CNmGji2IGhxXgS91bKm1h0ln/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 — Keyword Proximity Checker capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "keyword-proximity-checker-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Yem3wGKJqrGOkrO4CNmGji2IGhxXgS91bKm1h0ln/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 Keyword Proximity Checker owners ask.

  • 01

    How is the word distance calculated?

    The capability calculates the difference between the positions of the keywords and subtracts one. It always finds the shortest possible distance if a keyword appears multiple times.

  • 02

    What is a keyword cluster?

    A cluster is identified when multiple keywords from your list all appear within a specified windowSize range of tokens.

  • 03

    Can I check multiple keyword pairs at once?

    Yes, using the evaluate_proximity_status capability, you can provide a list of keywords and a maximum distance to see which pairs are 'Near' or 'Far'.

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