Docs/Skills/Wordle Helper Skill

Wordle Helper Skill

Find possible Wordle solutions based on clues

OperationalCredits 2 per callp50 295msEntertainment

Overview

Returns ranked suggestions based on letter frequency analysis, prioritizing words with common letters for optimal guessing strategy.

Live Test Wordle Helper Skill Skill →

The tool

Once your client is connected to the VerveKit server, this appears in its tool list as WordleHelperSkill. 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": "WordleHelperSkill",
  "arguments": {}
}

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.

ArgumentTypeDescription
greenOptionalstringCorrect letters with positions (e.g., A1 means A at position 1)
yellowOptionalstringLetters in word but wrong position (e.g., R2 means R not at position 2)
grayOptionalstringLetters not in the word
patternOptionalstringPattern with known letters (use _ for unknown)
length 5–5
limitOptionalintegerMaximum number of suggestions
default 25 · range 1–100

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": {
    "matchCount": 11,
    "suggestions": [
      "adore",
      "afore",
      "afire",
      "argue",
      "aerie",
      "azure",
      "aurae",
      "arame",
      "agree",
      "aware",
      "areae"
    ],
    "filters": {
      "green": {
        "0": "a",
        "4": "e"
      },
      "yellow": [
        "r"
      ],
      "gray": [
        "s",
        "t",
        "l",
        "n"
      ]
    },
    "pattern": "A___E"
  }
}

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.

FieldTypeExampleDescription
matchCountnumber11Total number of matching words found
suggestionsarray["adore","afore","afire"]Array of matching 5-letter word suggestions
filtersobject{…}The constraints as the API parsed them, echoed back so you can see what was actually applied
filters.greenPremiumobject{…}Object mapping positions to correct letters
filters.green.0Premiumstringa
filters.green.4Premiumstringe
filters.yellowPremiumarray["r"]Array of letters in word but wrong position
filters.grayPremiumarray["s","t","l"]Array of eliminated letters not in word
patternstringA___EPattern with known letters and underscores

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.

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

Wordle Assistance
Get possible solutions when stuck on daily Wordle puzzles
Word Game Development
Integrate word filtering logic into puzzle game applications
Vocabulary Learning
Discover 5-letter words based on specific letter patterns
Strategy Optimization
Find optimal guesses based on letter frequency analysis

Other ways to use Wordle Helper Skill

Set up Wordle Helper 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 →

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