A
licenseNot graded
qualityD
maintenanceProvides tools for AI models to count characters and words in text, supporting English and other space-delimited languages.
1
MIT
Japanese Text Analyzer
by Mistizz
Related Servers
Alternatives to Japanese Text Analyzer
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceAccurately counts Japanese text characters using grapheme clusters, properly handling surrogate pairs and combining characters through the Intl.Segmenter API.MIT
- FlicenseNot gradedqualityCmaintenanceAccurately counts characters, bytes, and manuscript paper based on Unicode grapheme clusters, and provides deterministic feedback to help AI meet exact length limits for self-introductions or school records.-
- FlicenseNot gradedqualityDmaintenanceProvides comprehensive text analysis capabilities including character counting, word statistics, character type analysis, and text length validation for Korean and English text. Supports AI agents in analyzing and validating text content with detailed statistics and Unicode support.-
- AlicenseNot gradedqualityCmaintenanceProvides a tool to calculate basic text metrics including character count, characters without spaces, and word count.MIT
- FlicenseBqualityDmaintenanceA lightweight server that provides detailed text analysis, counting total characters, characters without spaces, letters, numbers, and symbols for AI assistants like Claude Desktop and GitHub Copilot.14-
TDQS
B3.3/5.0
Scored across 6 tools
Disambiguation2/5
There is significant ambiguity between tools: analyze_file and analyze_text appear to do the same analysis but on different inputs (file vs. text), while count_chars and count_clipboard_chars both count characters with similar descriptions, and count_words and count_clipboard_words both count words with similar logic. This overlap can easily lead to misselection by an agent.
Naming Consistency4/5
The naming follows a consistent verb_noun pattern throughout (e.g., analyze_file, count_chars), with all tools using snake_case. However, the use of 'clipboard' in some names deviates slightly from the file/text distinction in others, but overall the pattern is predictable and readable.
Tool Count4/5
With 6 tools, the count is reasonable for a text analysis server, as it covers multiple aspects like analysis and counting. It's slightly on the higher side due to duplication, but not excessive, and each tool serves a purpose within the domain.
Completeness3/5
The server covers core text analysis and counting functions, but there are notable gaps: it lacks tools for operations like summarization, sentiment analysis, or editing, which are common in text processing. The surface is functional but not comprehensive for advanced text analysis workflows.
Maintenance
ActivityInactive
ResponsivenessNo issues