Connecting ADK 2.0 with MCP: Full Setup Tutorial

Are your AI agents feeling unreliable or struggling to move from experimentation to production? In this video, we explore how Google ADK 2.0 provides the structure needed to build workflow-driven, production-grade Agentic AI. Learn how to implement the Model Context Protocol (MCP) to connect your agents to external databases, tools, and resources in a secure, standardized manner. In this tutorial, we cover: Why traditional hard-coded tools are rigid compared to the flexibility of MCP. How to use ADK 2.0 as an MCP client for dynamic, real-time data integration. Optimizing LLM token usage with Agent Skills and progressive disclosure. Scaling your systems by distinguishing between automated workflows and orchestration. Resources and links: Github Repo: https://github.com/10xroadmap/google-... Learn How to Create an MCP Server:    • Build MCP Server with Laravel   Subscribe for more insights:    / @10xroadmap