Build Your Own AI Travel Agent with Google Cloud & MCP ToolboxFull Setup +Deployment Tutorial (2025) скачать в хорошем качестве

Build Your Own AI Travel Agent with Google Cloud & MCP ToolboxFull Setup +Deployment Tutorial (2025)

🚀 Build Your Own AI Travel Agent with Google Cloud, MCP Toolbox & Gemini 2.5! In this step-by-step tutorial, learn how to create and deploy an AI-powered travel agent using Google Cloud SQL (Postgres), MCP Toolbox, and the Agent Development Kit (ADK) — powered by Gemini 2.5 Flash. ⚙️ Step-by-Step Commands 🧩 Authenticate and Set Up Google Cloud gcloud auth list gcloud config list project gcloud config set project YOUR_PROJECT_ID ☁️ Enable Required Cloud Services gcloud services enable cloudresourcemanager.googleapis.com \ servicenetworking.googleapis.com \ run.googleapis.com \ cloudbuild.googleapis.com \ cloudfunctions.googleapis.com \ aiplatform.googleapis.com \ sqladmin.googleapis.com \ compute.googleapis.com 🗄️ Create a Cloud SQL Instance gcloud sql instances create hoteldb-instance \ --database-version=POSTGRES_15 \ --tier=db-g1-small \ --region=us-central1 \ --edition=ENTERPRISE \ --root-password=postgres 🧱 Create and Populate the Hotels Table CREATE TABLE hotels( id INTEGER NOT NULL PRIMARY KEY, name VARCHAR NOT NULL, location VARCHAR NOT NULL, price_tier VARCHAR NOT NULL, checkin_date DATE NOT NULL, checkout_date DATE NOT NULL, booked BIT NOT NULL ); INSERT INTO hotels VALUES (1, 'Hilton Basel', 'Basel', 'Luxury', '2024-04-20', '2024-04-22', B'0'), (2, 'Marriott Zurich', 'Zurich', 'Upscale', '2024-04-14', '2024-04-21', B'0'), (3, 'Hyatt Regency Basel', 'Basel', 'Upper Upscale', '2024-04-02', '2024-04-20', B'0'), (4, 'Radisson Blu Lucerne', 'Lucerne', 'Midscale', '2024-04-05', '2024-04-24', B'0'), (5, 'Best Western Bern', 'Bern', 'Upper Midscale', '2024-04-01', '2024-04-23', B'0'), (6, 'InterContinental Geneva', 'Geneva', 'Luxury', '2024-04-23', '2024-04-28', B'0'), (7, 'Sheraton Zurich', 'Zurich', 'Upper Upscale', '2024-04-02', '2024-04-27', B'0'), (8, 'Holiday Inn Basel', 'Basel', 'Upper Midscale', '2024-04-09', '2024-04-24', B'0'), (9, 'Courtyard Zurich', 'Zurich', 'Upscale', '2024-04-03', '2024-04-13', B'0'), (10, 'Comfort Inn Bern', 'Bern', 'Midscale', '2024-04-04', '2024-04-16', B'0'); 🔧 Set Up MCP Toolbox mkdir mcp-toolbox && cd mcp-toolbox export VERSION=0.18.0 curl -O https://storage.googleapis.com/genai-... chmod +x toolbox 🤖 Build the AI Agent mkdir my-agents && cd my-agents python -m venv .venv source .venv/bin/activate pip install google-adk toolbox-core adk create hotel-agent-app Add to .env file: GOOGLE_GENAI_USE_VERTEXAI=1 GOOGLE_CLOUD_PROJECT=YOUR_PROJECT_ID GOOGLE_CLOUD_LOCATION=YOUR_REGION 🧠 Connect MCP Toolbox and Agent from google.adk.agents import Agent from toolbox_core import ToolboxSyncClient toolbox = ToolboxSyncClient("http://127.0.0.1:5000") tools = toolbox.load_toolset('my_first_toolset') root_agent = Agent( name="hotel_agent", model="gemini-2.5-flash", description="Agent to answer hotel questions by name or city.", instruction="Help users find hotels by location or name using the tools.", tools=tools, ) Run: adk run hotel-agent-app 🌍 Deploy to Cloud Run export PROJECT_ID="YOUR_GOOGLE_CLOUD_PROJECT_ID" gcloud iam service-accounts create toolbox-identity gcloud run deploy toolbox \ --image us-central1-docker.pkg.dev/database-toolbox/toolbox/toolbox:latest \ --service-account toolbox-identity \ --region us-central1 \ --allow-unauthenticated Then update: toolbox = ToolboxSyncClient("CLOUD_RUN_SERVICE_URL") #GoogleCloud #AIAgent #GeminiAI #AgentDevelopmentKit #MCPToolbox #CloudRun #Python #VertexAI #GoogleADK #aitutorial