Japanese Text Analyzer MCP Server

@Mistizz

About Japanese Text Analyzer MCP Server

MCP server for analyzing Japanese text with morphological analysis

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-JapaneseTextAnalyzer": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@Mistizz/mcp-JapaneseTextAnalyzer",
        "--client",
        "claude"
      ]
    }
  }
}

Tools

No tools detected

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is Japanese Text Analyzer MCP Server?

Japanese Text Analyzer MCP Server performs morphological analysis on Japanese text, measuring and evaluating linguistic features to provide feedback for text generation. It supports both direct text input and file-based analysis.

How to use Japanese Text Analyzer MCP Server?

Install via Smithery (npx -y @smithery/cli install @Mistizz/mcp-JapaneseTextAnalyzer --client claude) or run directly with npx -y github:Mistizz/mcp-JapaneseTextAnalyzer. Configure in Claude Desktop or Cursor by adding the server to their MCP configuration files. Use tools like count_chars, count_words, analyze_text, or analyze_file with absolute or relative file paths or clipboard text.

Key features of Japanese Text Analyzer MCP Server

Count characters (excluding spaces and newlines) from files or text
Count words with English space-splitting or Japanese morphological analysis
Analyze detailed linguistic features (average sentence length, part-of-speech ratios, vocabulary diversity, etc.)
Flexible file path resolution (absolute, relative, home, desktop, documents directories)
Support for both Windows and WSL/Linux path formats

Use cases of Japanese Text Analyzer MCP Server

Count characters or words in a Japanese text file for writing constraints
Analyze linguistic complexity and readability of Japanese documents
Understand part-of-speech distribution and vocabulary richness in a text
Evaluate formality level by checking honorific expression frequency
Integrate with AI assistants to provide feedback on Japanese text generation

FAQ from Japanese Text Analyzer MCP Server

What is morphological analysis and how does this server use it?

The server uses the kuromoji.js library for Japanese word segmentation. It splits text into morphemes (meaningful units) to count words and compute linguistic features. Initialization may take extra time due to dictionary loading.

What data does the server store or send?

The server processes text locally; no data is stored or sent externally. File paths and text are used solely for analysis within the running process.

Does the server require internet access?

No, after initial install, the server works offline. The npx command may need internet to download the package, but analysis runs locally.

What file paths are supported?

Absolute paths (Windows format like C:\Users\... or WSL/Linux format like /c/Users/...), relative paths, or just filenames. The server searches the current directory, home, desktop, and documents directories automatically.

How long does analysis take?

Analysis is near-instant after initialization. The first run may take a few seconds as the morphological analyzer loads its dictionary.

Frequently asked questions

What is morphological analysis and how does this server use it?

The server uses the `kuromoji.js` library for Japanese word segmentation. It splits text into morphemes (meaningful units) to count words and compute linguistic features. Initialization may take extra time due to dictionary loading.

What data does the server store or send?

The server processes text locally; no data is stored or sent externally. File paths and text are used solely for analysis within the running process.

Does the server require internet access?

No, after initial install, the server works offline. The `npx` command may need internet to download the package, but analysis runs locally.

What file paths are supported?

Absolute paths (Windows format like `C:\Users\...` or WSL/Linux format like `/c/Users/...`), relative paths, or just filenames. The server searches the current directory, home, desktop, and documents directories automatically.

How long does analysis take?

Analysis is near-instant after initialization. The first run may take a few seconds as the morphological analyzer loads its dictionary.

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