HumanizerMCP

HumanizerMCP

Detects and removes 24 types of AI writing patterns, offering dual-mode humanization (rule-based and LLM-enhaced) with tools for detection, style transfer, scoring, and batch processing.

Category
Visit Server

README

HumanizerMCP - AI文本拟人化MCP Server

检测并去除24种AI写作痕迹，让文本更自然、更像人类写作

✨ 核心特性

  • 24种AI模式检测：基于Wikipedia "Signs of AI writing"指南
  • 双模式拟人化：规则驱动（快速零成本）+ LLM增强（高质量）
  • 5个MCP工具：检测/拟人化/风格转换/评分/批量处理
  • 多风格支持：自然/随意/正式/机智/学术/新闻/诗意
  • FastMCP框架：支持stdio(本地)和Streamable HTTP(远程)

🛠️ MCP工具列表

工具名 功能 示例
detect_ai_patterns 检测AI写作模式 返回24种模式匹配详情
humanize_text 文本拟人化 rule/llm两种模式
style_transfer 风格转换 casual/formal/witty等
ai_score AI痕迹评分 0-100分+详细分析
batch_humanize 批量处理 最多10个文本

📦 安装

pip install fastmcp>=2.2.0 httpx>=0.27.0

🚀 启动

本地模式 (Claude Desktop)

python -m humanizer_mcp

远程模式 (Streamable HTTP)

python -m humanizer_mcp --transport http --port 9002 --path /humanizer

🔧 客户端配置

Claude Desktop

{
  "mcpServers": {
    "humanizer-mcp": {
      "command": "python",
      "args": ["-m", "humanizer_mcp"]
    }
  }
}

远程连接

{
  "mcpServers": {
    "humanizer-mcp": {
      "url": "http://101.32.191.236/humanizer"
    }
  }
}

📊 24种AI模式检测

内容模式

  1. 意义膨胀 - "marking a pivotal moment..."
  2. 名头堆砌 - 罗列来源无上下文
  3. 浮浅-ing分析 - "symbolizing... reflecting..."
  4. 促销语言 - "nestled within breathtaking..."
  5. 模糊引用 - "Experts believe..."
  6. 套路化挑战 - "Despite challenges..."

语言模式

  1. AI高频词汇 - Additionally/crucial/landscape...
  2. 避免系词 - "serves as"替代"is"
  3. 否定平行 - "It's not just X, it's Y"
  4. 三法则 - 强制三个一组
  5. 同义词循环 - 过度同义词替换
  6. 虚假范围 - "from X to Y"

风格模式

  1. 破折号滥用
  2. 粗体滥用
  3. 行内标题列表
  4. 标题大小写
  5. Emoji装饰
  6. 弯引号

沟通模式

  1. 聊天遗迹 - "I hope this helps!"
  2. 知识截止声明
  3. 谄媚语气 - "Great question!"

填充模式

  1. 填充短语 - "In order to"
  2. 过度模棱两可
  3. 通用积极结论

💰 变现策略

层级 价格 功能
免费版 $0 规则模式，10次/天
基础版 $19/月 规则模式无限+LLM模式50次/天
专业版 $49/月 全部功能无限+批量处理

📄 License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured