What is MCP Meet AgentIQ?
MCP Meet AgentIQ is an advanced AI-powered application that integrates multiple cutting-edge technologies to create a dynamic, context-aware, and powerful conversational experience.
How to use MCP Meet AgentIQ?
To use MCP Meet AgentIQ, run the AgentIQ Workflow using the command line interface with the provided configuration file and input your queries.
Key features of MCP Meet AgentIQ?
- 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 the
aiqCLI. - Real-time LLM monitoring and observability with LangFuse.
Use cases of MCP Meet AgentIQ?
- Enhancing conversational AI applications.
- Deploying AI models for real-time reasoning tasks.
- Creating interactive chatbots with advanced capabilities.
FAQ from MCP Meet AgentIQ?
- What technologies are used in MCP Meet AgentIQ?
The project utilizes NVIDIA AgentIQ, NIM, Llama3, Anthropic MCP, GPT-4o-mini, LangGraph, and Streamlit.
- Is there a frontend for user interaction?
Yes, the application features a lightweight frontend built with Streamlit for chat interactions.
- How can I deploy the application?
You can deploy the application easily using the
aiqCLI.
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
💡 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
aiqCLI - Real-time LLM monitoring and observability with LangFuse
⚙️ Setup & Usage
- Run AgentIQ Workflow
aiq run --config_file workflow.yaml --input "List five subspecies of Aardvarks"