MCP server for GPTZero AI content detection — sentence-level and paragraph-level scoring
Project description
gptzero-mcp
MCP server for GPTZero AI content detection. Get sentence-level and paragraph-level AI probability scores so you can surgically identify and fix AI-generated content.
Installation
pip install gptzero-mcp
Configuration
Set your API key as an environment variable:
export GPTZERO_API_KEY=your_api_key_here
Get your API key at app.gptzero.me/api.
Claude Code
claude mcp add -s user -e GPTZERO_API_KEY=your_key gptzero -- gptzero-mcp
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"gptzero": {
"command": "gptzero-mcp",
"env": {
"GPTZERO_API_KEY": "your_key"
}
}
}
}
Tools
detect_text
Full AI detection with sentence-level and paragraph-level scoring. Returns:
- Overall classification (human/ai/mixed) with confidence
- Per-sentence AI probability and flags
- Per-paragraph AI probability
- Burstiness and perplexity metrics
detect_text_summary
Quick overview — overall score plus only the flagged sentences.
detect_files
Scan document files (PDF, DOCX, TXT). Up to 50 files per request.
list_model_versions
List available GPTZero detection model versions.
Example
> detect_text("Your content here...")
{
"classification": "ai",
"confidence": "high",
"confidence_score": 0.95,
"sentences": [
{
"sentence": "Your content here...",
"ai_probability": 0.98,
"flagged_as_ai": true
}
]
}
License
MIT
Project details
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