When MCP is Boosted by NVIDIA AgentIQ and NIM's Super Power ⚡🧠

This project is an advanced AI-powered application that integrates multiple cutting-edge technologies to create a more dynamic, context-aware, and powerful conversational experience.

🚀 Overview

At the core of this stack is Anthropic MCP (via FastMCP) and GPT-4o-mini, orchestrated with LangGraph, and presented via a Streamlit frontend. We've supercharged it with NVIDIA's AgentIQ Workflow and NIM Inference Microservice, bringing in the power of reasoning with NVIDIA’s Llama3 Nemotron Super 49B model (R1 version).

🔌 Tech Stack

• 🧠 NVIDIA AgentIQ – Agentic workflow framework with tool-use capabilities
• 📦 NVIDIA NIM – Model deployment and inference microservice
• 🦙 NVIDIA Llama3 49B R1 – nvidia/llama-3_3-nemotron-super-49b-v1
• 🤖 Anthropic MCP – Powered by FastMCP
• 🔄 GPT-4o-mini – As the orchestration model
• 🔗 LangGraph – Graph-based LLM orchestration for tool-calling agents
• 🌐 Streamlit – For interactive frontend UI
• 📈 LangFuse – Monitoring and observability for LLM apps

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💡 Features

• Natural and dynamic reasoning with large-scale NVIDIA models
• Tool-using agents enabled by LangGraph and AgentIQ
• Lightweight frontend for chat interaction
• Easy deployment using aiq CLI
• Real-time LLM monitoring and observability with LangFuse

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⚙️ Setup & Usage

1. Run AgentIQ Workflow

   aiq run --config_file workflow.yaml --input "List five subspecies of Aardvarks"