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peopleworks/SignsofAI

by Various

A free, privacy-first tool that flags the tells of AI-generated writing, overused vocabulary, rhetorical crutches, robotic sentence rhythm and, for every finding, tells you how to

MCP

peopleworks/SignsofAI

Added 16 Sept 2026

#academic-integrity #ai-detection #ai-humanizer #ai-writing #blazor #blazor-hybrid #blazor-webassembly #claude-skill

Overview

A free, privacy-first tool that detects signs of AI-generated writing, including overused vocabulary, rhetorical crutches, and robotic sentence rhythm. For each finding it provides specific guidance on how to fix the issue. Implemented in C# and available as an MCP server.

Best for

Best for
Developers who want a privacy-respecting MCP server to flag AI-sounding writing in their own tools.

Use cases

  • Reviewing drafts for AI-sounding phrasing
  • Integrating writing feedback into MCP-based developer tools
  • Identifying robotic sentence patterns in generated content

How to use

Install

npx skills add peopleworks/SignsofAI -g

Tools exposed

  • analyze_ai_writing
  • check_originality
  • search_catalog
  • extract_distinctive_phrases
  • inspect_characters
  • check_citations
  • compare_to_baseline
  • write_report
  • measure_predictability
  • check_paraphrase

Tested with

Claude Desktop, Claude Code, Cursor, VS Code, ChatGPT

Notes

A free, privacy-first tool that detects signs of AI-generated writing, including overused vocabulary, rhetorical crutches, and robotic sentence rhythm. For each finding it provides specific guidance on how to fix the issue. Implemented in C# and available as an MCP server.

24 stars on GitHub. Last updated 2026-09-09. Licensed MIT.

Use cases

  • Reviewing drafts for AI-sounding phrasing
  • Integrating writing feedback into MCP-based developer tools
  • Identifying robotic sentence patterns in generated content

Pros

  • Privacy-first, with no external analysis required
  • Actionable fix suggestions for every detected issue
  • Free to use with source available on GitHub

Cons

  • Small project with limited community adoption
  • Requires an MCP environment to run
  • C# implementation may not fit all developer stacks

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Privacy-first, with no external analysis required
  • Actionable fix suggestions for every detected issue
  • Free to use with source available on GitHub

Cons

  • Small project with limited community adoption
  • Requires an MCP environment to run
  • C# implementation may not fit all developer stacks

Pairs with

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