This project demonstrates a multi-agent system using Google's Agent Development Kit (ADK), Agent2Agent (A2A) and Model Context Protocol (MCP). that integrates Notion for information retrieval and ElevenLabs for text-to-speech conversion.

This repository contains a demo of a Search Agent built with Google's Agent Development Kit (ADK), showcasing Agent2Agent (A2A) and Multi-Component Protocol (MCP) integration. The Search Agent is capable of scraping content from specified URLs.

🤖 Multi-Agent Cryptocurrency Trading AI with Google A2A ADK, Gemini CLI for dynamic strategy development, LangChain & MCP integration. Features 92% hallucination reduction through multi-agent verification, hardware wallet security, and comprehensive DEX/CEX trading capabilities.

멀티 에이전트를 활용한 주식투자 보조 챗봇 서비스 [ADK-orchestrated multi-agent chatbot with A2A collaboration and MCP tool integration]

A2A MCP Integration: Specialized agents for ElevenLabs TTS and Notion workspace management using Google ADK and Model Control Protocol

FastAPI template demonstrating Google ADK with MCP and A2A (Agent-to-Agent) protocols. Multi-agent system with Notion and ElevenLabs integration.

Reference implementation of an end-to-end agentic architecture using ADK with MCP tool access, A2A agent-to-agent coordination, and AG-UI frontend integration.

Best-in-Class AI Agent App Builder GitHub Repositories for Google Platform - A curated guide to Google ADK, A2A Protocol, and MCP integrations

Our planner has context sharing,in process MCP tool integration,structured output using pydantic(md,json), Task monitoring & Logging using callback functions, A2A protocol and used interoperability - e.g. one agent defined using ADK another using CrewAI.