Word Pronunciation Skill

Overview

Word Pronunciation works by analyzing the word provided and getting the pronunciation. It uses advanced algorithms to get the pronunciation of the word and returns the pronunciation.

Live Test Word Pronunciation Skill Skill →

The tool

Once your client is connected to the VerveKit server, this appears in its tool list as WordPronunciationSkill. 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.

Tool call

{
  "name": "WordPronunciationSkill",
  "arguments": {
    "word": "hello"
  }
}

You do not name the tool yourself; the model picks it. Asking about hello in the terms this skill covers is enough for it to reach for WordPronunciationSkill 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"
    }
  }
}

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.

Argument	Type	Description
`word`Required	string	The word to get the pronunciation of

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.

Result

{
  "status": "ok",
  "error": null,
  "data": {
    "word": "hello",
    "pronounciation": "HH AH0 L OW1"
  }
}

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.

Field	Type	Example	Description
`word`	string	`hello`	The word provided for pronunciation lookup
`pronounciation`	string	`HH AH0 L OW1`	Phonetic pronunciation of the word in ARPAbet format

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.

Status	What it means
`400` / `422`	The arguments did not validate. The message names the offending one.
`401`	The OAuth session is invalid or expired — reconnect the server.
`403`	Blocked by a key restriction or an IP allow-list. Never a bad identity.
`404`	This skill is not part of VerveKit. Check the catalog.
`429`	Out of credits, or a brief rate limit. The message tells them apart.

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

Text-to-Speech Engines: To produce accurate speech synthesis, TTS pipelines look up ARPAbet transcriptions to guide acoustic models on irregular English spellings.
Language Learning Flashcards: Vocabulary builders display ARPAbet phonetic guides beside headwords so students can read and practice standard spoken sounds.
Rhyme and Meter Matching: Comparing the final ARPAbet phoneme sequences from catalog queries helps lyric and poetry editors detect rhyming pairs automatically.
Custom Voice Command Parsing: When mapping voice triggers, speech recognition systems link spoken phonemes to commands using returned ARPAbet transcriptions.

Other ways to use Word Pronunciation Skill

Set up Word Pronunciation 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.

Call it as a REST APIOne HTTPS endpoint and an x-api-key header, with SDKs for Node, Python and .NET.APIVerve →Reference →

Google Sheets or ExcelA =VERVE() formula fills a column — no script, no export, recalculates in place.VerveSheets →Reference →