analyze_file
ファイルの詳細な形態素解析と言語的特徴の分析を行います。文の複雑さ、品詞の割合、語彙の多様性などを解析します。
LABSCO SUMMARY
Counting Japanese words needs a parser, and the analysis tools are where this earns its place.
Character and word counts are the obvious ask, but the profile is what you cannot get from a word processor: sentence length, part-of-speech mix and type-token ratio turn "this reads heavy" into numbers you can act on. It measures — it does not rewrite — so use it as feedback on drafts.
What it is
A morphological analysis server for Japanese text, built on kuromoji.js. It counts characters and words the way Japanese actually requires — words are not space-separated — and reports linguistic features you can use as writing feedback. It works on pasted text or on a file, and resolves loose file paths across several common directories.
What you get
- Character counts excluding spaces and line breaks, from a file or from pasted text —
count_chars,count_clipboard_chars - Word counts that use morphological analysis for Japanese and space splitting for English, selected with a
languageparameter —count_words,count_clipboard_words - A full linguistic profile: average sentence length, morphemes per sentence, part-of-speech proportions, particle usage, the hiragana/katakana/kanji/alphanumeric mix, vocabulary diversity as a type-token ratio, loanword share, honorific frequency and punctuation per sentence —
analyze_text,analyze_file - Path handling that accepts Windows and WSL-style absolute paths, relative paths, or just a filename, searching the working, home, desktop and documents directories
Requirements
No account and no key. Run it straight from GitHub with npx -y github:Mistizz/mcp-JapaneseTextAnalyzer, or install into Claude Desktop through Smithery; on Windows, wrapping the command in cmd /c is the documented fallback. The package is mcp-japanesetextanalyzer 1.0.0. The morphological dictionary loads at server startup, which is why the first run takes a moment.
Setup effort
One command — npx -y github:Mistizz/mcp-JapaneseTextAnalyzer
USE CASES
01
Hitting a character limit in Japanese
Count the real characters excluding spaces and line breaks, on the file or on text you paste, so the number matches what the submission form counts.
02
Working out why a draft reads as hard going
Run the profile and look at average sentence length and morphemes per sentence — long, dense sentences show up as numbers rather than as a feeling.
03
Checking whether a text is formal enough for its audience
Read the honorific frequency and the katakana share from the profile: one tells you how polite the register is, the other how loanword-heavy and casual it reads.
04
Counting words in a mixed English and Japanese document
Set the language parameter per call — English splits on spaces, Japanese goes through morphological analysis and returns the parse detail alongside the count.
6 tools
Counted once with only startup setup. Other versions, modes or optional credentials may expose a different list.
analyze_text
テキストの詳細な形態素解析と言語的特徴の分析を行います。文の複雑さ、品詞の割合、語彙の多様性などを解析します。
count_chars
ファイルの文字数を計測します。絶対パスを指定してください（Windows形式 C:\Users\...、またはWSL/Linux形式 /c/Users/... のどちらも可）。スペースや改行を除いた実質的な文字数をカウントします。
count_clipboard_chars
テキストの文字数を計測します。スペースや改行を除いた実質的な文字数をカウントします。
count_clipboard_words
テキストの単語数を計測します。英語ではスペースで区切られた単語をカウントし、日本語では形態素解析を使用します。
count_words
ファイルの単語数を計測します。絶対パスを指定してください（Windows形式 C:\Users\...、またはWSL/Linux形式 /c/Users/... のどちらも可）。英語ではスペースで区切られた単語をカウントし、日本語では形態素解析を使用します。
BEFORE YOU INSTALL
What to know first
Tools you get
6 tools when we connected.
Requires
npx on PATH
Where it runs
Both documented clients run the server on your machine.
CONTEXT COST
Light Standing cost
Rated by the size of the 6 tool definitions that ride along on every turn, not by how many there are
INSTALLATION
Connect your client
Server setup
TERMINAL
npx -y github:Mistizz/mcp-JapaneseTextAnalyzerMCP Clients
Claude Desktop, Cursor
JSON
{
"mcpServers": {
"JapaneseTextAnalyzer": {
"command": "npx",
"args": [
"-y",
"github:Mistizz/mcp-JapaneseTextAnalyzer"
]
}
}
}
