"Multi-Agent Python Application with A2A and MCP"
This project demonstrates a multi-agent system using LangGraph, with support for Google's Agent-to-Agent (A2A) protocol and Model Context Protocol (MCP). This multi-agent AI system can answer different types of questions by routing them to specialized agents. Think of it as a team of experts working together where: One expert analyzes your question Another expert decides who should answer it…
Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.
This project demonstrates a multi-agent system using LangGraph, with support for Google's Agent-to-Agent (A2A) protocol and Model Context Protocol (MCP). This multi-agent AI system can answer different types of questions by routing them to specialized agents. Think of it as a team of experts working together where: One expert analyzes your question Another expert decides who should answer it Specialized experts (for weather, sports, news, stocks, or health) provide information Another expert…