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humanpen/humanpen-mcp

by Various

A document-level AI humanizer, as an MCP server: humanize a whole .docx/.pptx, rewrite selected passages, or auto-target the text flagged by a Turnitin/iThenticate AI-detection rep

MCP

humanpen/humanpen-mcp

Added 8 Sept 2026

Overview

An MCP server that rewrites .docx and .pptx documents to reduce AI-detection flags. It can humanize entire files, rewrite selected passages, or use a Turnitin/iThenticate report to target flagged text, editing in place while preserving formatting, tables, images, citations, and formulas.

Best for

Best for
Developers building MCP-based document workflows that need in-place humanization

Use cases

  • Humanize a full .docx before submission
  • Rewrite specific paragraphs flagged by an AI-detection report
  • Integrate document rewriting into an MCP-compatible assistant workflow

How to use

Install

claude mcp add humanpen -s user -e HUMANPEN_API_KEY=hp_your_key -- npx -y humanpen-mcp

Tools exposed

  • humanize_document
  • free_rehumanize
  • fix_citations
  • condense_document
  • translate_document
  • read_detection_report
  • check_job
  • get_credit_balance

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf, Cline, Continue, VS Code, ChatGPT

Notes

An MCP server that rewrites .docx and .pptx documents to reduce AI-detection flags. It can humanize entire files, rewrite selected passages, or use a Turnitin/iThenticate report to target flagged text, editing in place while preserving formatting, tables, images, citations, and formulas.

4 stars on GitHub. Last updated 2026-08-12. Licensed Apache-2.0.

Use cases

  • Humanize a full .docx before submission
  • Rewrite specific paragraphs flagged by an AI-detection report
  • Integrate document rewriting into an MCP-compatible assistant workflow

Pros

  • Preserves document structure and embedded objects
  • Supports targeted rewriting from detection reports
  • Works with any MCP-capable client

Cons

  • Low star count suggests limited community validation
  • Requires an MCP client to use
  • Effectiveness against detectors is not guaranteed

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

Pros

  • Preserves document structure and embedded objects
  • Supports targeted rewriting from detection reports
  • Works with any MCP-capable client

Cons

  • Low star count suggests limited community validation
  • Requires an MCP client to use
  • Effectiveness against detectors is not guaranteed
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