HoneyMCP AI Attack Detector

Example Use Cases

• 1

  Detect and log AI-driven data exfiltration attempts.

• 2

  Identify indirect prompt injection attacks manipulating AI behavior.

• 3

  Deploy deception honeypots seamlessly with minimal integration effort.

Description

HoneyMCP injects fake security-sensitive tools called ghost tools into Model Context Protocol servers to detect data exfiltration and indirect prompt injection attacks by AI agents. It offers one-line integration with FastMCP servers, provides high-fidelity detection with complete attack telemetry, and includes a live dashboard for real-time attack visualization. HoneyMCP supports dynamic domain-specific honeypots generated by LLMs as well as static generic honeypots, and offers configurable protection modes for immediate lockout or sustained deception.