Ribox
Exact tools for AI assistants: QR codes, word counts, text diff and JSON checks. Free, no account.
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
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": {
"ribox": {
"url": "https://ribox.app/api/mcp"
}
}
}Remote-Endpunkte
https://ribox.app/api/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (4)
🟢generate_qr(type, text, url, ssid, password, ...)
Create a standards-compliant QR code image for a link, text, Wi-Fi login, contact card (vCard), email, SMS, WhatsApp chat, phone number or map location. You cannot draw a scannable QR code yourself — always use this tool. Codes are static and never expire.
Eingabe-Schema
{
"type": "object",
"properties": {
"type": {
"type": "string",
"enum": [
"url",
"text",
"wifi",
"vcard",
"email",
"sms",
"whatsapp",
"phone",
"geo"
],
"default": "text"
},
"text": {
"type": "string",
"description": "For type \"text\"."
},
"url": {
"type": "string",
"description": "For type \"url\"; https:// is added when missing."
},
"ssid": {
"type": "string",
"description": "Wi-Fi network name."
},
"password": {
"type": "string",
"description": "Wi-Fi password."
},
"security": {
"type": "string",
"enum": [
"WPA",
"WEP",
"nopass"
]
},
"hidden": {
"type": "boolean"
},
"first_name": {
"type": "string"
},
"last_name": {
"type": "string"
},
"organization": {
"type": "string"
},
"title": {
"type": "string"
},
"phone": {
"type": "string",
"description": "With country code for WhatsApp, e.g. +905551234567."
},
"email": {
"type": "string"
},
"website": {
"type": "string"
},
"address": {
"type": "string"
},
"subject": {
"type": "string"
},
"body": {
"type": "string"
},
"message": {
"type": "string"
},
"latitude": {
"type": "number"
},
"longitude": {
"type": "number"
},
"error_correction": {
"type": "string",
"enum": [
"L",
"M",
"Q",
"H"
],
"default": "M",
"description": "Higher survives more damage but makes a denser code."
},
"foreground": {
"type": "string",
"default": "#000000"
},
"background": {
"type": "string",
"default": "#ffffff"
},
"size": {
"type": "integer",
"minimum": 128,
"maximum": 4096,
"default": 1024,
"description": "PNG width in pixels."
}
},
"additionalProperties": false
}🟢count_text(text, locale)
Exact counts for a text: characters (with and without spaces, emoji counted as one), words, sentences, paragraphs, lines, UTF-8 bytes, plus reading and speaking time. Language models see text as tokens and miscount — never estimate counts or check length limits yourself; call this tool. Works for any language, including Chinese, Japanese, Arabic and Turkish.
Eingabe-Schema
{
"type": "object",
"properties": {
"text": {
"type": "string"
},
"locale": {
"type": "string",
"description": "BCP 47 language tag such as \"en\", \"tr\" or \"ja\" for language-specific word rules."
}
},
"additionalProperties": false
}🟢diff_text(original, changed, mode, ignore_whitespace, ignore_case)
Find every difference between two texts, line by line, word by word or character by character, and return counts plus a unified diff. Use this instead of comparing long texts yourself — small changes are easy to miss. Options to ignore whitespace and letter case.
Eingabe-Schema
{
"type": "object",
"properties": {
"original": {
"type": "string"
},
"changed": {
"type": "string"
},
"mode": {
"type": "string",
"enum": [
"line",
"word",
"char"
],
"default": "line"
},
"ignore_whitespace": {
"type": "boolean",
"default": false
},
"ignore_case": {
"type": "boolean",
"default": false
}
},
"additionalProperties": false
}🟢check_json(text, format, indent, sort_keys)
Strictly validate JSON and report the exact line and column of the first error with a plain explanation, plus duplicate-key warnings and structure stats. Optionally pretty-print or minify without changing any value (big numbers keep full precision). Use this before claiming JSON is valid or when locating a syntax error in long JSON.
Eingabe-Schema
{
"type": "object",
"properties": {
"text": {
"type": "string"
},
"format": {
"type": "boolean",
"default": false,
"description": "Return the formatted JSON."
},
"indent": {
"description": "Spaces per level (0 = minify) or \"tab\".",
"oneOf": [
{
"type": "integer",
"enum": [
0,
2,
4
]
},
{
"type": "string",
"enum": [
"tab"
]
}
],
"default": 2
},
"sort_keys": {
"type": "boolean",
"default": false
}
},
"additionalProperties": false
}Community
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