AI Gateway Intent Assistant

Example Use Cases

• 1

  Detect and report security vulnerabilities in user prompts with multilingual support.

• 2

  Predict user intent accurately to enhance task automation and engagement.

• 3

  Provide real-time NLP interpretation and visual feedback to users.

Description

This MCP server offers an agentic AI that supports users with daily tasks by recognizing intent and generating security diagnostic reports translated into multiple languages. It integrates a backend task orchestration system with Node.js, BullMQ, and Python scheduler, while leveraging PyTorch for intent prediction and Matplotlib for visual engagement. The frontend provides an interactive NLP UI for real-time interpretation previews, aiming for high accuracy, low latency, and strong user engagement.