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google-adk-python

Develop, evaluate, and deploy AI agents with Google ADK Python.

1|Updated Mar 9, 2026
Search Tags:#deployment#python#llm#ai agents#agent development#google adk
One-click install
npx skills add https://github.com/docaohieu2808/claude-skills --skill google-adk-python-docaohieu2808
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: google-adk-python
Source: https://github.com/docaohieu2808/claude-skills/tree/main/google-adk-python
Command: npx skills add https://github.com/docaohieu2808/claude-skills --skill google-adk-python-docaohieu2808

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive guide and toolkit for building, evaluating, and deploying sophisticated AI agents using Google's Agent Development Kit (ADK) in Python.

Core Features & Use Cases

  • Agent Development: Create single or multi-agent systems with flexible workflow patterns (sequential, parallel, loop).
  • Tool Integration: Seamlessly integrate custom tools, external APIs, and MCP servers.
  • Deployment: Deploy agents to various cloud platforms like Cloud Run, Vertex AI, and GKE.
  • Use Case: Develop a customer service agent that can handle user queries, search a knowledge base, and escalate complex issues to a human agent, all orchestrated by the ADK.

Quick Start

Install the ADK by running pip install google-adk in your terminal.

Frequently Asked Questions about google-adk-python

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build and deploy multi-agent systems with Google ADK in Python?▼

Build multi-agent systems with Google ADK in Python by defining flexible workflow patterns like sequential, parallel, and loop, then deploy to Vertex AI or Cloud Run. It supports state management and callbacks for complex orchestration.

Can I integrate external tools and MCP servers into AI agents using Google ADK?▼

Integrate external tools and MCP servers into AI agents using Google ADK by configuring custom tools and APIs. The framework supports MCP tools and plugins to extend agent functionality and connect with external systems.

What deployment options are supported for AI agents built with Google Agent Development Kit?▼

AI agents built with Google Agent Development Kit support deployment to Cloud Run, Vertex AI, and GKE. This enables scalable hosting of agentic applications across various Google Cloud platforms.

How do I evaluate AI agents developed in Google ADK Python?▼

Evaluate AI agents developed in Google ADK Python using the framework's built-in evaluation capabilities. It facilitates testing complex agentic applications with a code-first approach to ensure agent behavior meets requirements.

Does Google ADK support the A2A protocol for multi-agent communication?▼

Google ADK supports the A2A protocol for multi-agent communication, enabling agents to interact seamlessly. This allows building sophisticated multi-agent systems with coordinated workflows.

What is the best way to manage state and callbacks in Google ADK Python agents?▼

Manage state and callbacks in Google ADK Python agents by leveraging the framework's built-in state management and callback features. This enables persistent context and custom event handling throughout agent workflows.

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