A
licenseA
qualityA
maintenanceEnables local, offline AI-text detection over MCP with read-only tools for status checking and statistical analysis of text using calibrated compact models.
2
BSD 3-Clause
wordsmith-mcp
by mirza1272
Related Servers
Alternatives to wordsmith-mcp
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityDmaintenanceIntegrates local language models (like Qwen3-8B) with MCP clients, providing tools for chat, code analysis, text generation, translation, and content summarization using your own hardware.-
- AlicenseNot gradedqualityDmaintenanceModular MCP server providing text preprocessing and NLP tools for AI agent ecosystems.MIT
- AlicenseAqualityCmaintenanceLets MCP clients delegate private or bulk text tasks to a local OpenAI-compatible LLM while keeping data on the machine.1MIT
- AlicenseAqualityDmaintenanceLocal-first MCP server for Originality.ai workflows, including AI detection, plagiarism checks, readability, SEO scans, and scan-result retrieval for content teams.81AGPL 3.0
- FlicenseNot gradedqualityDmaintenanceA local-first MCP server that builds compact voice profiles from writing samples, then compares, rewrites, or generates new text in that voice.-
TDQS
A4.3/5.0
Scored across 7 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: statistics, summarization, keywords, readability, case conversion, entity extraction, and diffing. While several tools analyze text, their outputs are different enough that an agent should not confuse them.
Naming Consistency4/5
Most tools follow a verb_noun pattern such as summarize_text, extract_keywords, convert_case, and diff_texts. text_stats and readability are minor deviations that are still readable and predictable.
Tool Count5/5
Seven tools is a well-scoped size for a text analysis and transformation server. Each tool covers a distinct utility without unnecessary overlap or bloat.
Completeness4/5
The toolkit covers the core text-analysis workflow: profiling, summarizing, keyword extraction, readability, transformations, entity extraction, and diffing. Minor gaps like sentiment analysis or language detection are common additions but not clearly required for the stated purpose.
Maintenance
ActivitySlowing
ResponsivenessNo issues