Implements a comprehensive Model Context Protocol (MCP) through a dual AI server architecture, offering real-time monitoring and an interactive dashboard.
This project provides a robust Model Context Protocol (MCP) Agentic AI Server system designed for advanced AI applications. It features a custom MCP server for task-based AI processing with extensible tool integration, alongside a public MCP server for direct AI query processing. An interactive Streamlit dashboard offers real-time monitoring, live statistics, and a user-friendly interface, making it a comprehensive solution for managing and interacting with AI models.