GlyphGuard

Find hidden Unicode (zero-width, bidi, tag payloads), homoglyphs and lookalike names in text.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
100%
Qualität der Benennung
80%
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

~1,269Tokens (Tool-Definitionen)
~3.3 KBTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.99% 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": {
    "glyphguard": {
      "url": "https://glyphguard.mike-tusa.workers.dev/mcp"
    }
  }
}

Remote-Endpunkte

https://glyphguard.mike-tusa.workers.dev/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (3)

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🟢scan_text(text)

Find invisible characters, bidi controls (Trojan Source), hidden Unicode tag payloads (decoded), variation-selector runs, control characters, unusual spaces, mixed-script words and lookalike letters. ZWJ/ZWNJ/VS16 in legitimate context (emoji sequences, Persian/Arabic joining, Indic virama) are reported as info joiner_in_context and do not raise risk; elsewhere they stay medium. Lone surrogates are flagged. Returns a risk level (none/low/medium/high), counts, and findings with UTF-16 offsets and code points. Read-only. Same engine as GET /api/scan.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string",
      "minLength": 1,
      "maxLength": 2000,
      "description": "Text to inspect (up to 2000 UTF-16 code units)."
    }
  },
  "required": [
    "text"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "risk": {
      "type": "string",
      "enum": [
        "none",
        "low",
        "medium",
        "high"
      ]
    },
    "length": {
      "type": "integer"
    },
    "codePoints": {
      "type": "integer"
    },
    "total": {
      "type": "integer"
    },
    "counts": {
      "type": "object"
    },
    "tagPayload": {
      "type": "string"
    },
    "findings": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "type": {
            "type": "string"
          },
          "severity": {
            "type": "string"
          },
          "offset": {
            "type": "integer"
          },
          "codePoint": {
            "type": "string"
          },
          "name": {
            "type": "string"
          },
          "char": {
            "type": "string"
          },
          "looksLike": {
            "type": "string"
          },
          "script": {
            "type": "string"
          },
          "word": {
            "type": "string"
          },
          "scripts": {
            "type": "array",
            "items": {
              "type": "string"
            }
          }
        }
      }
    },
    "truncated": {
      "type": "boolean"
    },
    "notes": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "normalizedNfkcDiffers": {
      "type": "boolean"
    },
    "version": {
      "type": "string"
    }
  },
  "required": [
    "risk",
    "total",
    "counts",
    "findings",
    "version"
  ]
}
🟢clean_text(text, lookalikes, nfkc, spaces, keep_joiners, ...)

Return the text with invisible characters, bidi controls, tag characters and control characters removed and unusual spaces turned into normal spaces. By default ZWJ/ZWNJ/VS16 are kept inside emoji sequences, between letters of joining scripts (Arabic, Persian) and after an Indic virama (keep_joiners=true); strict=true removes them everywhere. Optional: map lookalike letters to Latin (lookalikes) and apply NFKC normalisation (nfkc). Read-only. Same engine as GET /api/clean.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string",
      "minLength": 1,
      "maxLength": 2000,
      "description": "Text to inspect (up to 2000 UTF-16 code units)."
    },
    "lookalikes": {
      "type": "boolean",
      "default": false,
      "description": "Map lookalike letters (e.g. Cyrillic а) to Latin. Changes legitimate non-Latin text too."
    },
    "nfkc": {
      "type": "boolean",
      "default": false,
      "description": "Apply Unicode NFKC first (fullwidth and math letters → plain)."
    },
    "spaces": {
      "type": "boolean",
      "default": true,
      "description": "Turn unusual spaces into a normal space."
    },
    "keep_joiners": {
      "type": "boolean",
      "default": true,
      "description": "Keep ZWJ/ZWNJ/VS16 where they are legitimate: emoji ZWJ sequences and VS16 emoji presentation, between letters of joining scripts (Arabic, Persian), and after an Indic virama. Joiners elsewhere are always removed."
    },
    "strict": {
      "type": "boolean",
      "default": false,
      "description": "Strict mode: remove every joiner and variation selector, even in emoji and Persian/Indic text (overrides keep_joiners)."
    }
  },
  "required": [
    "text"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string"
    },
    "changed": {
      "type": "boolean"
    },
    "removed": {
      "type": "object"
    },
    "joinersKept": {
      "type": "integer"
    },
    "lookalikesMapped": {
      "type": "integer"
    },
    "options": {
      "type": "object"
    },
    "length": {
      "type": "integer"
    },
    "notes": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "version": {
      "type": "string"
    }
  },
  "required": [
    "text",
    "changed",
    "removed",
    "version"
  ]
}
🟢compare_names(name, targets)

Check whether a name, username, domain label or brand looks the same as any of up to 50 protected names (for example "pаypal" with a Cyrillic а vs "paypal"), using a UTS #39-style confusable skeleton (curated subset, case and accents ignored). Read-only. Same engine as GET /api/compare.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "name": {
      "type": "string",
      "minLength": 1,
      "maxLength": 128,
      "description": "Name, username, domain label or brand to test."
    },
    "targets": {
      "type": "array",
      "minItems": 1,
      "maxItems": 50,
      "items": {
        "type": "string",
        "minLength": 1,
        "maxLength": 128
      },
      "description": "1 to 50 protected names."
    }
  },
  "required": [
    "name",
    "targets"
  ],
  "additionalProperties": false
}

Ausgabe-Schema

{
  "type": "object",
  "properties": {
    "name": {
      "type": "string"
    },
    "skeleton": {
      "type": "string"
    },
    "confusableWith": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "results": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "target": {
            "type": "string"
          },
          "skeleton": {
            "type": "string"
          },
          "identical": {
            "type": "boolean"
          },
          "confusable": {
            "type": "boolean"
          },
          "caseOnly": {
            "type": "boolean"
          }
        }
      }
    },
    "nameRisk": {
      "type": "string"
    },
    "nameScripts": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "notes": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "version": {
      "type": "string"
    }
  },
  "required": [
    "skeleton",
    "confusableWith",
    "results",
    "version"
  ]
}

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