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Connect Keyword Proximity Checker to ChatGPT and Claude

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. Measure exact word distances to optimize your SEO relevance.

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 · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Keyword Proximity Checker.

  1. 01

    Get word distance

    Calculates the exact number of words between two specific keywords in your text.

  2. 02

    Detect keyword clusters

    Finds groups of keywords that appear near each other within a specified window.

  3. 03

    Evaluate proximity status

    Checks if specific keyword pairs fall within a distance threshold you set.

Real work

What teams actually run

01

SEO Content Auditing

Check if existing articles meet the keyword distance requirements needed for ranking.

02

Semantic Optimization

Adjust keyword placement to create tighter clusters for better topical relevance.

03

Competitor Analysis

Analyze how competitors group their keywords to inform your own content structure.

04

Draft Validation

Verify that new drafts hit specific proximity targets before they are published.

One connector, every AI

Keyword Proximity Checker 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 Keyword Proximity Checker 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

720ms average. Fast in production.

Keyword Proximity Checker is checked daily against the live service.

Daily averagePeak 916ms
Oct 3Today
Fastest day
566ms
Slowest day
916ms
14-day trend
Slowing+41%

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

Guided setup for Claude? Set up Keyword Proximity Checker in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Keyword Proximity Checker owners hand off.

SEO professionals and content strategists use this MCP to audit text for semantic relevance.

  • 01

    SEO Specialist

    Hands off long-form content to the AI to verify keyword proximity targets.

  • 02

    Content Writer

    Uses the capability to ensure target phrases are positioned for optimal search signals.

  • 03

    Editor

    Checks if a piece of content maintains the right topical density.

FAQ

Questions Keyword Proximity Checker owners ask.

  • 01

    What does this MCP actually do?

    It measures the exact number of words between specific keywords in a text to help with SEO analysis.

  • 02

    Which AI clients can I use with this?

    You can use this MCP with any compatible client like Claude, Cursor, or Windsurf.

  • 03

    How do I find keyword clusters?

    You can use the detect_keyword_clusters capability to find where multiple keywords appear near each other.

  • 04

    Can I set a maximum distance for keywords?

    Yes, the evaluate_proximity_status capability allows you to check if pairs meet a predefined threshold.

  • 05

    Do I need to host this myself?

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

  • 06

    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.

  • 07

    What is a keyword cluster?

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

  • 08

    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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