A
licenseNot graded
qualityC
maintenanceEnables AI content detection with sentence-level and paragraph-level AI probability scoring to identify and fix AI-generated text.
MIT
humanizer-mcp
by aousabdo
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TDQS
A4.5/5.0
Scored across 6 tools
Disambiguation5/5
Each tool serves a uniquely defined purpose: analyzing AI tells, comparing before/after, retrieving banned words, getting rewrite instructions, rewriting text, and quick vocab scanning. No two tools overlap in functionality.
Naming Consistency5/5
All tools follow a consistent 'humanizer_verb_noun' pattern, e.g., humanizer_analyze_ai_tells, humanizer_compare_before_after, humanizer_humanize_text. The naming convention is uniform and predictable.
Tool Count5/5
With 6 tools, the set is well-scoped for the domain of humanizing AI-generated text. It covers analysis, rewriting, comparison, reference, and quick scanning without unnecessary bloat or scarcity.
Completeness5/5
The tool set provides a complete workflow: analyze AI patterns, get rewrite instructions, rewrite text, compare before/after, and reference banned words. The quick scan adds a lightweight option. No obvious gaps for the stated purpose.
Maintenance
ActivityInactive
ResponsivenessNo issues