Zovo Word Counter
Exact word & character counts
Sollte ich dies verwenden
Qualität und Sicherheit
A
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
~2,152Tokens (Tool-Definitionen)
~11.8 KBTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (1.68% 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": {
"word-counter": {
"url": "https://word-counter.zovo.one/mcp"
}
}
}Remote-Endpunkte
https://word-counter.zovo.one/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (2)
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🟢count_text(text, exclude_citations, exclude_quotes, exclude_headings, exclude_reference_list, ...)
Use this when the user wants a word count, character count (with or without spaces), sentence or paragraph count, reading or speaking time, readability, or keyword density for text they provide, including essay counts without citations, quotes, headings, or the reference list. Pass the text exactly as written. Handles up to 100,000 characters and Japanese, Chinese, and Thai word splitting. Does not rewrite, shorten, translate, or grade the text, and does not read files or URLs.
Eingabe-Schema
{
"type": "object",
"properties": {
"text": {
"type": "string",
"maxLength": 100000,
"description": "The exact text to count, copied verbatim from the user without edits (up to 100,000 characters). Example: The quick brown fox jumps over the lazy dog."
},
"exclude_citations": {
"description": "Leave out in-text citations: APA (Smith, 2020), (Lee et al., 2019, p. 12), MLA (Smith 23), page refs (p. 4), and numeric [3]. Example: true.",
"type": "boolean"
},
"exclude_quotes": {
"description": "Leave out passages inside double quotation marks (\"...\", curly quotes, guillemets). Example: false.",
"type": "boolean"
},
"exclude_headings": {
"description": "Leave out headings: Markdown # lines and short title lines directly above a paragraph. Example: true.",
"type": "boolean"
},
"exclude_reference_list": {
"description": "Leave out everything from a References, Works Cited, or Bibliography heading to the end. Example: true.",
"type": "boolean"
},
"language": {
"description": "Optional BCP 47 language code, e.g. ja. Improves word splitting for Japanese, Chinese, and Thai; readability scores are only given for English.",
"type": "string",
"maxLength": 20
}
},
"required": [
"text"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"kind": {
"type": "string",
"const": "count"
},
"words": {
"type": "number"
},
"characters": {
"type": "number"
},
"characters_no_spaces": {
"type": "number"
},
"letters": {
"type": "number"
},
"sentences": {
"type": "number"
},
"paragraphs": {
"type": "number"
},
"lines": {
"type": "number"
},
"unique_words": {
"type": "number"
},
"avg_word_length": {
"type": "number"
},
"avg_sentence_words": {
"type": "number"
},
"reading_time": {
"type": "object",
"properties": {
"seconds": {
"type": "number"
},
"label": {
"type": "string"
},
"wpm": {
"type": "number"
}
},
"required": [
"seconds",
"label",
"wpm"
],
"additionalProperties": false
},
"speaking_time": {
"type": "object",
"properties": {
"seconds": {
"type": "number"
},
"label": {
"type": "string"
},
"wpm": {
"type": "number"
}
},
"required": [
"seconds",
"label",
"wpm"
],
"additionalProperties": false
},
"readability": {
"type": "object",
"properties": {
"available": {
"type": "boolean"
},
"flesch_reading_ease": {
"type": "number"
},
"flesch_kincaid_grade": {
"type": "number"
},
"label": {
"type": "string"
},
"note": {
"type": "string"
},
"reason": {
"type": "string"
}
},
"required": [
"available"
],
"additionalProperties": false
},
"keywords": {
"type": "array",
"items": {
"type": "object",
"properties": {
"word": {
"type": "string"
},
"count": {
"type": "number"
},
"density": {
"type": "number"
}
},
"required": [
"word",
"count",
"density"
],
"additionalProperties": false
}
},
"longest_sentence": {
"anyOf": [
{
"type": "object",
"properties": {
"number": {
"type": "number"
},
"words": {
"type": "number"
},
"snippet": {
"type": "string"
}
},
"required": [
"number",
"words",
"snippet"
],
"additionalProperties": false
},
{
"type": "null"
}
]
},
"long_sentences": {
"type": "object",
"properties": {
"over_25_words": {
"type": "number"
},
"over_40_words": {
"type": "number"
},
"examples": {
"type": "array",
"items": {
"type": "object",
"properties": {
"number": {
"type": "number"
},
"words": {
"type": "number"
},
"snippet": {
"type": "string"
}
},
"required": [
"number",
"words",
"snippet"
],
"additionalProperties": false
}
}
},
"required": [
"over_25_words",
"over_40_words",
"examples"
],
"additionalProperties": false
},
"cjk_characters": {
"type": "number"
},
"original_words": {
"type": "number"
},
"excluded": {
"type": "object",
"properties": {
"reference_list": {
"type": "object",
"properties": {
"count": {
"type": "number"
},
"words": {
"type": "number"
},
"examples": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"count",
"words",
"examples"
],
"additionalProperties": false
},
"headings": {
"type": "object",
"properties": {
"count": {
"type": "number"
},
"words": {
"type": "number"
},
"examples": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"count",
"words",
"examples"
],
"additionalProperties": false
},
"citations": {
"type": "object",
"properties": {
"count": {
"type": "number"
},
"words": {
"type": "number"
},
"examples": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"count",
"words",
"examples"
],
"additionalProperties": false
},
"quotes": {
"type": "object",
"properties": {
"count": {
"type": "number"
},
"words": {
"type": "number"
},
"examples": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"count",
"words",
"examples"
],
"additionalProperties": false
}
},
"additionalProperties": false
},
"options": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {}
},
"privacy": {
"type": "string"
}
},
"required": [
"kind",
"words",
"characters",
"characters_no_spaces",
"letters",
"sentences",
"paragraphs",
"lines",
"unique_words",
"avg_word_length",
"avg_sentence_words",
"reading_time",
"speaking_time",
"readability",
"keywords",
"longest_sentence",
"long_sentences",
"options",
"privacy"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢check_length_limits(text, platforms, min_words, max_words, max_characters, ...)
Use this when the user wants to know whether text fits a limit: an essay minimum or maximum word count, a custom character limit, or platform limits for X/Twitter (280 weighted), Threads, Bluesky, LinkedIn, Instagram captions, SEO title tags, meta descriptions, or SMS segments. Returns pass or fail, how far over or under, and where to cut. Pass the text exactly as written. Does not shorten or rewrite the text and does not post anything.
Eingabe-Schema
{
"type": "object",
"properties": {
"text": {
"type": "string",
"maxLength": 100000,
"description": "The exact text to count, copied verbatim from the user without edits (up to 100,000 characters). Example: The quick brown fox jumps over the lazy dog."
},
"platforms": {
"description": "Platforms to check, e.g. [\"x\",\"linkedin\"]. x: X/Twitter 280 weighted characters (links 23, emoji and CJK 2). threads: 500. bluesky: 300 graphemes. linkedin: 3,000. instagram: caption 2,200. meta_title: 60. meta_description: 160 (155 safer). sms: 160 GSM-7 or 70 Unicode per message. If nothing is given, x, threads, bluesky, linkedin, and instagram are checked.",
"maxItems": 8,
"type": "array",
"items": {
"type": "string",
"enum": [
"x",
"threads",
"bluesky",
"linkedin",
"instagram",
"meta_title",
"meta_description",
"sms"
]
}
},
"min_words": {
"description": "Minimum required word count, e.g. 1500.",
"type": "integer",
"minimum": 1,
"maximum": 100000
},
"max_words": {
"description": "Maximum allowed word count, e.g. 2000.",
"type": "integer",
"minimum": 1,
"maximum": 100000
},
"max_characters": {
"description": "A custom character limit (counted as user-perceived characters), e.g. 500.",
"type": "integer",
"minimum": 1,
"maximum": 100000
},
"exclude_citations": {
"description": "Leave out in-text citations: APA (Smith, 2020), (Lee et al., 2019, p. 12), MLA (Smith 23), page refs (p. 4), and numeric [3]. Example: true.",
"type": "boolean"
},
"exclude_quotes": {
"description": "Leave out passages inside double quotation marks (\"...\", curly quotes, guillemets). Example: false.",
"type": "boolean"
},
"exclude_headings": {
"description": "Leave out headings: Markdown # lines and short title lines directly above a paragraph. Example: true.",
"type": "boolean"
},
"exclude_reference_list": {
"description": "Leave out everything from a References, Works Cited, or Bibliography heading to the end. Example: true.",
"type": "boolean"
},
"language": {
"description": "Optional BCP 47 language code, e.g. ja. Improves word splitting for Japanese, Chinese, and Thai; readability scores are only given for English.",
"type": "string",
"maxLength": 20
}
},
"required": [
"text"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"kind": {
"type": "string",
"const": "limits"
},
"words": {
"type": "number"
},
"characters": {
"type": "number"
},
"all_pass": {
"type": "boolean"
},
"results": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"label": {
"type": "string"
},
"metric": {
"type": "string"
},
"count": {
"type": "number"
},
"limit": {
"type": "number"
},
"min": {
"type": "number"
},
"status": {
"type": "string",
"enum": [
"pass",
"fail",
"warn"
]
},
"remaining": {
"type": "number"
},
"over": {
"type": "number"
},
"under": {
"type": "number"
},
"percent": {
"type": "number"
},
"cut": {
"type": "object",
"properties": {
"keep_until": {
"type": "string"
},
"next": {
"type": "string"
},
"keeps_words": {
"type": "number"
},
"paragraph": {
"type": "number"
}
},
"required": [
"keep_until",
"next",
"keeps_words",
"paragraph"
],
"additionalProperties": false
},
"note": {
"type": "string"
},
"segments": {
"type": "number"
},
"encoding": {
"type": "string"
},
"non_gsm": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"id",
"label",
"metric",
"count",
"limit",
"status",
"percent"
],
"additionalProperties": false
}
},
"options": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {}
},
"privacy": {
"type": "string"
}
},
"required": [
"kind",
"words",
"characters",
"all_pass",
"results",
"options",
"privacy"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}Community
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