
Extending CartPilot with MCP Tools
Connect external microservices and third-party tools to ADK 2 agents using Model Context Protocol (MCP) and McpToolset.
Technical guides and step-by-step instructions on building cloud-native applications, engineering thought leadership, and scaling Agentic AI.

Connect external microservices and third-party tools to ADK 2 agents using Model Context Protocol (MCP) and McpToolset.

Automate regression testing and benchmark agent performance with ADK's AgentEvaluator. Measure tool trajectory accuracy and response match scores.

Implement deterministic guardrails, audit logging, and runtime policy enforcement across all six ADK 2 lifecycle callback hooks.

Track, measure, and optimize LLM token costs in Google ADK 2. Implement after_model_callback telemetry and model tiering strategies.

Build production-resilient AI agent toolsets. Implement structured error schemas, bounded retries with jitter, and self-healing agent logic.

Safeguard high-risk operations in AI agents. Implement ADK 2's Tool Confirmation flow to pause execution and require human approval on financial refunds.