Keyword Extraction Skill

Overview

Keyword Extractor works by analyzing the text and extracting the keywords based on their frequency. It uses advanced algorithms to extract the keywords and returns the keywords in a structured format.

Live Test Keyword Extraction Skill Skill →

The tool

Once your client is connected to the VerveKit server, this appears in its tool list as KeywordExtractionSkill. It is read-only and open-world — it fetches and never mutates anything on your side — so most clients call it without asking you to confirm.

{
  "name": "KeywordExtractionSkill",
  "arguments": {
    "text": "Machine learning is a subset of artificial intelligence that enables systems to learn from data. Deep learning uses neural networks to process complex patterns in data."
  }
}

You do not name the tool yourself; the model picks it. Asking about Machine learning is a subset of artificial intelligence that enables systems to learn from data. Deep learning uses neural networks to process complex patterns in data. in the terms this skill covers is enough for it to reach for KeywordExtractionSkill on its own — naming it explicitly also works, and is the way to force the call.

Connecting

One server URL covers every skill in the catalog, including this one. Authorization is OAuth: the client opens a browser once, and there is no key to paste into a config file.

{
  "mcpServers": {
    "vervekit": {
      "url": "https://api.vervekit.com/v1/mcp"
    }
  }
}

https://api.vervekit.com/v1/mcp

Per-client setup — Claude, Cursor, VS Code, ChatGPT — is on the MCP setup page.

Arguments

These are the properties on the tool's inputSchema, so a well-behaved client validates them before the call is made. Premium arguments are accepted on every plan but only take effect on plans that include them.

What the model gets back

The result carries a structuredContent object matching the tool's declared outputSchema, so a client reads fields without parsing prose. status is "ok" and error is null on success; a null field means the value was not available for that input, not that the call failed.

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{
  "status": "ok",
  "error": null,
  "data": {
    "url": "https://en.wikipedia.org/wiki/Email_address",
    "keywordCount": 50,
    "topKeyword": "email",
    "totalOccurrences": 672,
    "keywords": {
      "email": 94,
      "address": 61,
      "mail": 52,
      "domain": 34,
      "addresses": 34,
      "characters": 27,
      "retrieved": 27,
      "internet": 17,
      "message": 15,
      "validation": 12
    },
    "topKeywords": [
      {
        "keyword": "email",
        "count": 94,
        "percentage": 14
      },
      {
        "keyword": "address",
        "count": 61,
        "percentage": 9.1
      },
      {
        "keyword": "mail",
        "count": 52,
        "percentage": 7.7
      },
      {
        "keyword": "domain",
        "count": 34,
        "percentage": 5.1
      },
      {
        "keyword": "addresses",
        "count": 34,
        "percentage": 5.1
      }
    ]
  }
}

Response fields

Paths are relative to data. Premium fields are absent rather than zeroed on plans that do not include them, so check for presence instead of comparing to 0.

Failure modes

Errors come back as tool errors carrying a sentence the model can act on, not a bare status code. Error handling covers the full list.

A call costs 10 credits each time the tool actually runs; a model that reasons about the tool without calling it costs nothing.

Use cases

Competitor Webpage Audit

SEO specialists submit competitor article URLs to see top keyword density and discover which subjects competitors focus on.

Editorial CMS Tagging

When editors draft articles, publishing systems read the returned top terms to auto-suggest relevant tags and taxonomy categories before publication.

Support Ticket Categorization

Classify high-volume helpdesk requests automatically by mapping recurring keywords and frequency counts from incoming ticket text to triage queues.

Ad Copy Term Analysis

Marketing teams check landing pages against prospective ad copy to align top keyword frequencies with targeted search ad campaigns.

Other ways to use Keyword Extraction Skill

Set up Keyword Extraction Skill on VerveKit, or reach the same source a different way. Your VerveKit account and credits work on all of them — one key, one balance.

Related

More in Text Processing: