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Connect Keyword Extractor 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. Identify the most important terms in any document instantly.

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 Extractor Engine.

  1. 01

    Calculate term density

    This capability measures how often a specific word appears within a block of text.

  2. 02

    Rank keywords

    This capability generates a prioritized list of the most significant terms found in your text.

  3. 03

    Verify language capability

    This capability checks if the MCP supports the specific language you want to analyze.

Real work

What teams actually run

01

Content Auditing

Check if a piece of writing actually focuses on the intended topics by looking at keyword rankings.

02

Document Summarization Prep

Identify the most important terms before asking your agent to summarize a long file.

03

Language Verification

Confirm language support before running large batches of multilingual text.

04

Thematic Analysis

Use term density to see how heavily a specific concept is emphasized in a transcript.

One connector, every AI

Keyword Extractor 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 Keyword Extractor 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

836ms average. Fast in production.

Keyword Extractor Engine is checked daily against the live service.

Daily averagePeak 1070ms
Oct 3Today
Fastest day
632ms
Slowest day
1070ms
14-day trend
Slowing+5%

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 Extractor Engine, so you can see the experience inside your AI.

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

Keyword Extractor Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_pI6NO6ZkNzeuheRsFlhUgGz8DmheaeJNHApCwOY7/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 Extractor Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "keyword-extractor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_pI6NO6ZkNzeuheRsFlhUgGz8DmheaeJNHApCwOY7/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 Extractor Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Keyword Extractor Engine owners hand off.

This MCP is built for anyone who needs to quantify the contents of large text datasets.

  • 01

    Data Analysts

    They hand off raw text to the AI to get structured keyword frequency data.

  • 02

    Content Strategists

    They use it to identify core themes in articles or marketing copy.

  • 03

    Researchers

    They use the density capability to check the prevalence of specific terms in papers.

FAQ

Questions Keyword Extractor Engine owners ask.

  • 01

    What languages does this MCP support?

    The MCP supports English, Portuguese, and Spanish.

  • 02

    How does it decide which keywords are important?

    It uses term frequency and density calculations while filtering out common stopwords.

  • 03

    Can I check if a specific word is used frequently?

    Yes, you can use the calculate_term_density capability for that.

  • 04

    Which AI clients can I use with this?

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

  • 05

    Do I need to host this myself?

    No, Vinkius hosts and manages the MCP for you.

  • 06

    Which languages are supported?

    The engine currently supports English (en), Portuguese (pt), and Spanish (es) through hardcoded stopword lists.

  • 07

    How is keyword density calculated?

    Density is calculated by dividing the frequency of a specific term by the total count of all valid tokens (words that are not stopwords) in the text.

  • 08

    Can I check if a language is supported before running analysis?

    Yes, you can use the verify_language_capability capability to confirm if a specific ISO 63 639-1 code is available for extraction.

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