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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

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