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louis030195/gptzero-mcp

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πŸ“‡ ☁️ 🍎 πŸͺŸ 🐧 - AI detection for text content with GPTZero API. Detect AI-generated text, get confidence scores, multilingual support (French/Spanish), and detailed probability br

L

MCP

louis030195/gptzero-mcp

Added 1 June 2026

Overview

A Model Context Protocol server that integrates GPTZero's text detection API. It analyzes text to determine AI generation, returning confidence scores and probability breakdowns. Supports French and Spanish in addition to English.

Best for

Best for
Developers who need to check text authenticity through GPTZero within MCP-compatible AI tools

Use cases

  • Detect AI-generated content in documents or messages
  • Get confidence scores for text authenticity checks
  • Analyze multilingual text for AI origin using GPTZero API

Notes

A Model Context Protocol server that integrates GPTZero’s text detection API. It analyzes text to determine AI generation, returning confidence scores and probability breakdowns. Supports French and Spanish in addition to English.

0 stars on GitHub. Last updated 2025-10-06. Licensed MIT.

Use cases

  • Detect AI-generated content in documents or messages
  • Get confidence scores for text authenticity checks
  • Analyze multilingual text for AI origin using GPTZero API

Pros

  • Simple integration via MCP with AI assistants
  • Provides detailed probability breakdown, not just a binary result
  • Multilingual support for French and Spanish

Cons

  • Requires a GPTZero API key, which is a paid service
  • Accuracy of AI detection varies and may produce false positives or negatives
  • Limited adoption (0 GitHub stars) and potential maintenance risks

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Simple integration via MCP with AI assistants
  • Provides detailed probability breakdown, not just a binary result
  • Multilingual support for French and Spanish

Cons

  • Requires a GPTZero API key, which is a paid service
  • Accuracy of AI detection varies and may produce false positives or negatives
  • Limited adoption (0 GitHub stars) and potential maintenance risks