AI Content Detector MCP Server
Detects AI-generated content by analyzing 24 writing patterns, provides style analysis, plagiarism check, text humanization suggestions, and offers batch detection and version comparison tools.
README
🔍 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:
- Detect → Identify AI patterns and their severity
- Humanize → Apply fixes using HumanizerMCP's rule/LLM engine
- 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 |
=======
a0c609f (Initial commit: AI Content Detector MCP Server v1.0.0 - 8 tools, 24 AI patterns, humanizer integration)
License
MIT
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