Llama 4 MCP AI Agents: BUILD Travel Planner Agents in 5 mins!

# Build AI Travel Agents with Llama 4 & MCP: Complete Guide https://mer.vin/2025/04/llama-4-agents/ 🌟 Learn how to create powerful AI travel planning agents using Llama 4, Model Context Protocol (MCP), and Groq for lightning-fast performance! In this tutorial, I show you how to build a complete AI travel planning system with multiple specialized agents working together: Research Agent, Flight Agent, Hotel Agent, and Planning Agent - all powered by internet search capabilities. ## 🛠️ What You'll Build - Multi-agent AI system that plans complete travel itineraries - User-friendly interface where you input destination, dates, budget & preferences - Agents that work together to research destinations, find flights, book hotels, and create day-by-day itineraries ## 📋 Step-by-Step Tutorial Contents: 1. Setting up required packages (praise, AI agents, gradio) 2. Configuring API keys (Groq and Brave Search) 3. Building specialized AI agents with MCP and internet search 4. Creating a user interface with gradio 5. Testing the complete system with a real travel plan ## 🔑 API Requirements: - Groq API key (free tier available) - Brave Search API key (free queries available) ## 💻 Technologies Used: - Llama 4 (multimodal AI model) - Model Context Protocol (MCP) - Groq (for fast AI agent processing) - Brave Search API (for internet search capability) - Gradio (for user interface) ## ⚡ Why This Approach Works: - Multiple specialized agents working together creates comprehensive travel plans - Internet search enables up-to-date information - Llama 4's powerful capabilities deliver high-quality results - Groq provides exceptional speed for real-time planning ## 📱 Connect With Me: - Like this video if you found it helpful! - Comment below with your thoughts or questions - Check out my other tutorial on WhatsApp MCP agents ## 🔗 Resources: All code and commands available in my GitHub repository: [LINK] Free tiers available for all APIs mentioned #AIAgents #Llama4 #Travel