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index observed

Lettras word search

Create word-search puzzles in 6 languages (es, en, pt, fr, de, it) with native accented letters.

Should I use this

Quality & Safety

A
Description quality
87%
Schema completeness
77%
Naming quality
93%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~786Tokens (tool definitions)
~2.3 KBTypical response size
Moderate attention impact (0.61% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "word-search": {
      "url": "https://mcp.lettras.org/mcp"
    }
  }
}

Remote endpoints

https://mcp.lettras.org/mcpstreamable-http

What it can do

Tool inventory

Tools (3)

🟒 Read-only🟑 WriteπŸ”΄ Deleteβšͺ Unknown
🟑generate_word_search(classicMode, clustering, cols, difficulty, lang, ...)

Create a word-search puzzle (sopa de letras) from a list of words. Keeps native letters (Γ‘, Γ‡, Γƒ, Γ„, ẞ, Γˆβ€¦) as one cell each. Returns the grid, where every word is hidden, and any words that did not fit. Empty cells are marked "-": call fill_word_search with the grid to complete it with random letters. The same seed always gives the same puzzle.

Input Schema

{
  "type": "object",
  "properties": {
    "classicMode": {
      "description": "Strip accents in the grid (Γ± becomes N).",
      "type": "boolean"
    },
    "clustering": {
      "description": "0 keeps words apart, 1 makes them cross. Default 0.5.",
      "maximum": 1,
      "minimum": 0,
      "type": "number"
    },
    "cols": {
      "description": "Grid width. May differ from rows for a rectangular grid.",
      "maximum": 30,
      "minimum": 6,
      "type": "integer"
    },
    "difficulty": {
      "description": "Used when position is not set: 1 easy (right, down) to 4 expert (all 8 directions).",
      "maximum": 4,
      "minimum": 1,
      "type": "integer"
    },
    "lang": {
      "description": "Language of the words. Default es.",
      "enum": [
        "es",
        "en",
        "pt",
        "fr",
        "de",
        "it"
      ],
      "type": "string"
    },
    "position": {
      "description": "horizontal = left to right only, vertical = top to bottom only, mixed = all 8 directions including diagonals.",
      "enum": [
        "horizontal",
        "vertical",
        "mixed"
      ],
      "type": "string"
    },
    "rows": {
      "description": "Grid height.",
      "maximum": 30,
      "minimum": 6,
      "type": "integer"
    },
    "seed": {
      "description": "Repeatable puzzles: same input and seed, same grid.",
      "minimum": 0,
      "type": "integer"
    },
    "words": {
      "description": "Words to hide, in their normal spelling (accents kept).",
      "items": {
        "maxLength": 30,
        "minLength": 1,
        "type": "string"
      },
      "maxItems": 60,
      "minItems": 1,
      "type": "array"
    }
  },
  "required": [
    "words",
    "rows",
    "cols"
  ],
  "additionalProperties": false
}
🟒fill_word_search(accents, empty, grid, lang, seed, ...)

Completes a word search: takes the grid from generate_word_search (empty cells are "-") and fills them with random letters in the chosen language, with accents on or off. Letters follow how common they are in that language. Pass the puzzle's words so the filler never creates an extra copy of one.

Input Schema

{
  "type": "object",
  "properties": {
    "accents": {
      "description": "true (default): use the language's accented/native letters (Γ‘, Γ‡, Γƒ, Γ„, αΊžβ€¦). false: plain A-Z only.",
      "type": "boolean"
    },
    "empty": {
      "description": "What marks an empty cell. Default \"-\".",
      "maxLength": 4,
      "type": "string"
    },
    "grid": {
      "description": "The grid from generate_word_search: rows of one-letter strings, \"-\" for empty cells.",
      "items": {
        "items": {
          "maxLength": 4,
          "minLength": 1,
          "type": "string"
        },
        "maxItems": 30,
        "minItems": 1,
        "type": "array"
      },
      "maxItems": 30,
      "minItems": 1,
      "type": "array"
    },
    "lang": {
      "description": "Language of the letters. Default es.",
      "enum": [
        "es",
        "en",
        "pt",
        "fr",
        "de",
        "it"
      ],
      "type": "string"
    },
    "seed": {
      "description": "Repeatable filler. Omit for a different filler every time.",
      "minimum": 0,
      "type": "integer"
    },
    "words": {
      "description": "The hidden words, so the filler cannot create an extra copy of one.",
      "items": {
        "maxLength": 30,
        "minLength": 1,
        "type": "string"
      },
      "maxItems": 60,
      "type": "array"
    }
  },
  "required": [
    "grid"
  ],
  "additionalProperties": false
}
🟒list_languages

Languages Lettras supports, with the native letters each one adds to its grid alphabet.

Input Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}

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Evidence

Recent observations

verifiedversion not recorded3 tools