Text Counter MCP Server
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Alternatives to Text Counter MCP Server
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Related Servers
- AlicenseNot gradedqualityDmaintenanceProvides tools for AI models to count characters and words in text, supporting English and other space-delimited languages.1MIT
- FlicenseNot gradedqualityNot gradedmaintenanceProvides detailed character analysis for text, counting total characters, characters without spaces, letters, numbers, and symbols through a simple MCP tool interface.-
- AlicenseNot gradedqualityBmaintenanceProvides text analysis tools including word counting, reading time estimation, keyword density analysis, and sentiment scoring.7 npm28 PyPIMIT
- AlicenseAqualityDmaintenanceEnables counting characters or bytes in text with options to include or exclude whitespace. Provides a simple tool for text analysis and length measurement.1MIT
- AlicenseNot gradedqualityBmaintenanceProvides text statistics and readability scores (Flesch Reading Ease, Flesch-Kincaid Grade Level) via offline, keyless tools.5 npmMIT
- AlicenseAqualityBmaintenanceProvides exact text analysis tools for counting characters and words, scoring readability, diffing texts, testing regular expressions, and computing hashes.5MIT
TDQS
Scored across 1 tool
The single tool has a clear, focused purpose: computing basic text metrics. There are no other tools to confuse it with, so disambiguation is inherently high, though the tool name 'get_text_count' is slightly misleading as it returns multiple metrics beyond just a count.
With only one tool, there is no opportunity for naming inconsistency. The name 'get_text_count' follows a clear verb_noun pattern (get_text_count), which is predictable and descriptive.
The server offers only a single tool, which is very thin for a text analysis domain. While it covers basic metrics, it feels under-scoped; typical text analysis servers include multiple tools for different purposes, making this borderline too few.
The tool covers only basic counts (characters, words) but omits common text metrics like sentences, paragraphs, reading time, and frequency analysis. The surface is severely incomplete for a text analysis server, with no CRUD or lifecycle operations available.