Syllable Counter Skill

Overview

Syllable Counter works by analyzing text word-by-word using the CMU Pronouncing Dictionary to count syllables based on phonetic data. For unknown words, it uses rule-based syllable counting. Maximum text length is 500 characters.

Live Test Syllable Counter Skill Skill →

The tool

Once your client is connected to the VerveKit server, this appears in its tool list as SyllableCounterSkill. 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": "SyllableCounterSkill",
  "arguments": {
    "text": "The quick brown fox jumps over the lazy dog"
  }
}

You do not name the tool yourself; the model picks it. Asking about The quick brown fox jumps over the lazy dog in the terms this skill covers is enough for it to reach for SyllableCounterSkill 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": {
    "text": "The quick brown fox jumps over the lazy dog",
    "total_syllables": 11,
    "word_count": 9,
    "average_syllables_per_word": 1.22,
    "words": [
      {
        "word": "the",
        "syllables": 1
      },
      {
        "word": "quick",
        "syllables": 1
      },
      {
        "word": "brown",
        "syllables": 1
      },
      {
        "word": "fox",
        "syllables": 1
      },
      {
        "word": "jumps",
        "syllables": 1
      },
      {
        "word": "over",
        "syllables": 2
      },
      {
        "word": "the",
        "syllables": 1
      },
      {
        "word": "lazy",
        "syllables": 2
      },
      {
        "word": "dog",
        "syllables": 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 2 credits each time the tool actually runs; a model that reasons about the tool without calling it costs nothing.

Use cases

Readability Analysis

Calculate syllable counts for readability scores like Flesch-Kincaid and Flesch Reading Ease

Poetry & Lyrics

Verify syllable counts in poetry, song lyrics, and haiku to match required meters and structures

Education

Create educational materials with appropriate syllable complexity for different reading levels

Content Optimization

Analyze content syllable counts to adjust writing complexity for target audiences

Other ways to use Syllable Counter Skill

Set up Syllable Counter 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: