Building an AI Travel Planner with Google ADK, MCP & Gemini | Travel-Mate

Travel-Mate is an AI-powered travel concierge built with Google's Agent Development Kit (ADK), Model Context Protocol (MCP), and Gemini API. It simplifies vacation planning by integrating multiple tools and data sources to provide personalized travel recommendations, itinerary generation, and real-time information. The system demonstrates how to combine agentic AI capabilities with external APIs to create a practical, multi-step travel planning application.

Key Points

• •Use Google ADK to scaffold and structure multi-agent AI applications with built-in tool management
• •Integrate Model Context Protocol (MCP) servers to connect external data sources and APIs seamlessly
• •Leverage Gemini API as the core LLM for reasoning, planning, and natural language understanding
• •Implement tool-use patterns where agents can call travel APIs (flights, hotels, attractions) autonomously
• •Design multi-turn conversations that break down complex travel planning into manageable agent steps
• •Create custom MCP servers to expose travel-specific data (destinations, pricing, availability) to the agent
• •Use prompt engineering to guide agent behavior toward generating coherent, actionable itineraries
• •Implement error handling and validation for API responses to ensure reliable travel recommendations
• •Structure the agent to handle user preferences (budget, dates, interests) and refine suggestions iteratively

Workflow Diagram

Concepts