How to build an agentic AI graph application in 10 minutes using MCP | Amazon Web Services

Building Agentic AI Applications with Neptune MCP: A Practical Guide

This technical walkthrough demonstrates how to rapidly develop AI-powered graph applications using AWS Strands SDK and Neptune MCP server, enabling developers to create intelligent, graph-based solutions efficiently.

Technical Overview:
• Setting up Neptune MCP server environment
• Integrating AWS Strands SDK components
• Implementing agentic behavior patterns
• Configuring graph-based AI interactions

The demonstration covers:
• Basic setup and configuration
• Core API implementation
• Agent behavior definition
• Graph query integration

Key Implementation Steps:
• Environment initialization
• Graph schema design
• Agent configuration

Practical Applications:
• Intelligent data analysis
• Automated decision systems
• Knowledge graph navigation
• Dynamic relationship mapping

This guide is designed for developers and architects working with:
• Graph databases
• AI/ML systems
• Knowledge graphs
• Automated reasoning systems

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