🔍 AI Content Detector MCP Server

Detect AI-generated content, analyze writing style, check plagiarism, and humanize text. Recognizes 24 AI writing patterns. Sister product of HumanizerMCP - forms a "detect + humanize" closed loop.

Features

• 8 MCP Tools: detect_ai_content, analyze_writing_style, check_plagiarism, get_detection_report, humanize_content, batch_detect, compare_versions, get_ai_probability
• 24 AI Patterns: Based on Wikipedia "Signs of AI writing" guide
• Style Analysis: Sentence rhythm, vocabulary diversity, personal voice, emotional richness
• Plagiarism Check: N-gram similarity and self-repetition detection
• Humanization: Actionable suggestions to reduce AI traces

Quick Start

# Install
pip install -r requirements.txt

# Run (stdio mode)
python server.py

# Run (HTTP mode)
python server.py --transport http --port 8010

Tools

Tool	Description
detect_ai_content	Detect AI patterns with severity scores
analyze_writing_style	Analyze sentence patterns and voice
check_plagiarism	Check similarity and self-repetition
get_detection_report	Comprehensive detection report
humanize_content	Suggestions to make text more human
batch_detect	Detect multiple texts at once
compare_versions	Compare AI scores between versions
get_ai_probability	Quick AI probability score

AI Patterns Detected

🔴 High Severity: Elevated vocabulary, vague attribution, promotional tone, boilerplate intro, lack of specificity, buzzword density, no personal anecdotes, parallel negation

🟡 Medium Severity: Em dash overuse, rule of three, transition overuse, conclusion summary, hedge words, redundant phrasing, over-explanation, neutral stance, generic examples

🟢 Low Severity: Perfect grammar, list-heavy, template structure, symmetric structure, emotional flatness

Integration with HumanizerMCP

This detector pairs perfectly with HumanizerMCP:

1. Detect → Identify AI patterns and their severity
2. Humanize → Apply fixes using HumanizerMCP's rule/LLM engine
3. Compare → Verify AI score reduction with compare_versions

MCP Config

{
  "mcpServers": {
    "ai-content-detector": {
      "command": "python",
      "args": ["server.py"],
      "cwd": "/path/to/ai-content-detector-mcp"
    }
  }
}

<<<<<<< HEAD

在线访问（推荐）

无需本地安装，直接在MCP客户端配置：

{
  "mcpServers": {
    "ai-content-detector-mcp": {
      "url": "http://www.mzse.com/detector-mcp/"
    }
  }
}

REST API

curl http://www.mzse.com/detector-mcp/

部署状态

项目	地址
域名	http://www.mzse.com/detector-mcp/
GitHub	https://github.com/zhaohongyuziranerran/ai-content-detector-mcp

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a0c609f (Initial commit: AI Content Detector MCP Server v1.0.0 - 8 tools, 24 AI patterns, humanizer integration)

License

MIT