CussCheck

English profanity filter: find and censor swear words, incl. obfuscations. Word list, not AI.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
100%
Qualität der Benennung
100%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~612Tokens (Tool-Definitionen)
~5.0 KBTypische Antwortgröße
Minimale Auswirkung auf die Aufmerksamkeit (0.48% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "profanity-api": {
      "url": "https://profanity-api.mike-tusa.workers.dev/mcp"
    }
  }
}

Remote-Endpunkte

https://profanity-api.mike-tusa.workers.dev/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (1)

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🟢check_profanity(text, censor, allow, deny)

Detect English profanity in text (word list with leetspeak, look-alike letters, repeated letters, dotted/spaced letters and hidden characters handled) and return the matched terms, their positions (UTF-16 start/end in your text) and, unless censor is false, a censored copy of the same length. Common innocent words (Scunthorpe, cockpit, Shiite, cumin) are whitelisted; it does not understand context and is English only. Text up to 10240 UTF-8 bytes; it is not stored or logged. matches is capped at 50 here (match_count is the full total). Read-only. Same engine, keys and limits as POST /v1/check.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string",
      "description": "The text to check, at most 10240 UTF-8 bytes.",
      "maxLength": 10240
    },
    "censor": {
      "type": "boolean",
      "description": "Return a censored copy (default true)."
    },
    "allow": {
      "type": "array",
      "description": "Words never to flag, e.g. [\"hell\", \"damn\"]. Allow wins over deny.",
      "maxItems": 50,
      "items": {
        "type": "string",
        "minLength": 1,
        "maxLength": 40
      }
    },
    "deny": {
      "type": "array",
      "description": "Extra words to flag on word boundaries, e.g. [\"jerk\"].",
      "maxItems": 50,
      "items": {
        "type": "string",
        "minLength": 1,
        "maxLength": 40
      }
    }
  },
  "required": [
    "text"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "has_profanity": {
      "type": "boolean"
    },
    "match_count": {
      "type": "integer",
      "description": "Total number of matches in the text (not capped)."
    },
    "terms": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "matches": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "term": {
            "type": "string"
          },
          "match": {
            "type": "string"
          },
          "start": {
            "type": "integer"
          },
          "end": {
            "type": "integer"
          },
          "source": {
            "type": "string"
          },
          "obfuscated": {
            "type": "boolean"
          }
        },
        "required": [
          "term",
          "start",
          "end"
        ]
      },
      "maxItems": 50,
      "description": "Matches in text order, at most 50 here (see match_count for the total). start/end are UTF-16 indices into your text."
    },
    "matches_returned": {
      "type": "integer"
    },
    "truncated": {
      "type": "boolean",
      "description": "True when matches lists fewer than match_count (over 50 here, or the API's own cap)."
    },
    "censored": {
      "type": "string",
      "description": "Your text with each match replaced by asterisks (same length). Omitted when censor is false."
    },
    "text_bytes": {
      "type": "integer"
    },
    "engine": {
      "type": "string"
    },
    "version": {
      "type": "string"
    }
  },
  "required": [
    "has_profanity",
    "match_count",
    "terms",
    "matches"
  ]
}

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