MCP Boosted by NVIDIA AgentIQ and NIM
by sparktsao
This project enhances Anthropic MCP with NVIDIA AgentIQ and NIM, creating a dynamic AI-powered conversational application. It integrates cutting-edge technologies for a more powerful and context-aware experience.
Last updated: N/A
What is MCP Boosted by NVIDIA AgentIQ and NIM?
An AI application that combines Anthropic MCP, GPT-4o-mini, LangGraph, NVIDIA AgentIQ, and NIM for a powerful conversational experience. It leverages NVIDIA's Llama3 Nemotron Super 49B model for reasoning.
How to use MCP Boosted by NVIDIA AgentIQ and NIM?
Run the AgentIQ workflow using the aiq CLI. An example command is aiq run --config_file workflow.yaml --input "List five subspecies of Aardvarks".
Key features of MCP Boosted by NVIDIA AgentIQ and NIM
Natural reasoning with NVIDIA models
Tool-using agents via LangGraph and AgentIQ
Lightweight Streamlit frontend for interaction
Easy deployment with
aiqCLIReal-time LLM monitoring via LangFuse
Use cases of MCP Boosted by NVIDIA AgentIQ and NIM
AI-powered chat application
Reasoning and tool use for complex tasks
Conversational AI with enhanced context awareness
Rapid prototyping of AI workflows
AI-driven task automation
FAQ from MCP Boosted by NVIDIA AgentIQ and NIM
What is NVIDIA AgentIQ?
What is NVIDIA AgentIQ?
AgentIQ is an agentic workflow framework with tool-use capabilities.
What is NVIDIA NIM?
What is NVIDIA NIM?
NIM is a model deployment and inference microservice provided by NVIDIA.
What is LangGraph used for?
What is LangGraph used for?
LangGraph is used for graph-based LLM orchestration for tool-calling agents.
What models are used in this project?
What models are used in this project?
This project primarily uses NVIDIA’s Llama3 Nemotron Super 49B for reasoning, Anthropic MCP (via FastMCP) and GPT-4o-mini for orchestration.
How is the user interface created?
How is the user interface created?
The interactive frontend UI is built using Streamlit.