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GPTZero MCP Server

by louis030195
README.md2.33 kB
# @louis030195/gptzero-mcp MCP (Model Context Protocol) server for GPTZero AI detection API. Detect AI-generated text directly from Claude, ChatGPT, or any LLM that supports MCP. ## Features - 🤖 Detect AI-generated text with confidence scores - 🌍 Multilingual support (French, Spanish) - 📊 Detailed probability breakdowns (AI/Human/Mixed) - 🎯 High/medium/low confidence categories ## Installation ### Claude Desktop Add to your Claude Desktop configuration (`~/Library/Application Support/Claude/claude_desktop_config.json` on Mac or `%APPDATA%\Claude\claude_desktop_config.json` on Windows): ```json { "mcpServers": { "gptzero": { "command": "npx", "args": ["-y", "@louis030195/gptzero-mcp"], "env": { "GPTZERO_API_KEY": "your-gptzero-api-key" } } } } ``` ### Claude Code ```bash # Install globally in user scope with API key claude mcp add -s user gptzero npx -e GPTZERO_API_KEY=your-gptzero-api-key -- -y @louis030195/gptzero-mcp ``` ## Get Your GPTZero API Key 1. Go to [GPTZero](https://gptzero.me) 2. Sign up or log in 3. Navigate to API settings 4. Copy your API key ## Usage Once configured, you can use natural language to detect AI content: - "Check if this text is AI-generated: [paste text]" - "Analyze this document for AI detection" - "What's the probability this was written by AI?" - "Is this human or AI written?" ## Tools ### `gptzero_detect` Detect if text was generated by AI. **Parameters:** - `document` (string, required): Text to analyze - `multilingual` (boolean, optional): Enable multilingual detection for French/Spanish (default: false) **Returns:** - Predicted class (ai/human/mixed) - Confidence category (high/medium/low) - Probability scores for each class - Detailed sentence-level analysis ### `gptzero_model_versions` Get available GPTZero model versions. **Returns:** List of available model versions ## Development ```bash # Clone the repo git clone https://github.com/louis030195/gptzero-mcp.git cd gptzero-mcp # Install dependencies npm install # Build npm run build # Run locally GPTZERO_API_KEY=your-api-key npm start ``` ## API Documentation See [GPTZero API Docs](https://gptzero.stoplight.io/) for full API details. ## License MIT ## Author [Louis Beaumont](https://twitter.com/louis030195)

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