Zovo Word Counter
Exact word & character counts
我該用這個嗎
品質與安全性
A
根據工具定義與協定合規性的自動化分析。
上下文成本
~2,152Token（工具定義）
~11.8 KB典型回應大小
中等的注意力影響（128k 上下文的 1.68%）
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"word-counter": {
"url": "https://word-counter.zovo.one/mcp"
}
}
}遠端端點
https://word-counter.zovo.one/mcpstreamable-http它能做什麼
工具清單
工具（2）
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢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.
輸入結構描述
{
"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#"
}輸出結構描述
{
"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.
輸入結構描述
{
"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"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}輸出結構描述
{
"type": "object",
"properties": {
"kind": {
"type": "string",
"const": "limits"
},
"words": {
"type": "number"
},
"characters": {
"type": "number"
},
"all_pass": {
"type": "boolean"
},
"results": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"label": {
"type": "string"
},
"metric": {
"type": "string"
},
"count": {
"type": "number"
},
"limit": {
"type": "number"
},
"min": {
"type": "number"
},
"status": {
"type": "string",
"enum": [
"pass",
"fail",
"warn"
]
},
"remaining": {
"type": "number"
},
"over": {
"type": "number"
},
"under": {
"type": "number"
},
"percent": {
"type": "number"
},
"cut": {
"type": "object",
"properties": {
"keep_until": {
"type": "string"
},
"next": {
"type": "string"
},
"keeps_words": {
"type": "number"
},
"paragraph": {
"type": "number"
}
},
"required": [
"keep_until",
"next",
"keeps_words",
"paragraph"
],
"additionalProperties": false
},
"note": {
"type": "string"
},
"segments": {
"type": "number"
},
"encoding": {
"type": "string"
},
"non_gsm": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"id",
"label",
"metric",
"count",
"limit",
"status",
"percent"
],
"additionalProperties": false
}
},
"options": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {}
},
"privacy": {
"type": "string"
}
},
"required": [
"kind",
"words",
"characters",
"all_pass",
"results",
"options",
"privacy"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}社群
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