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This 23-minute video from Discover AI explains Google's Agent2Agent (A2A) Protocol and its compatibility with the Message Content Protocol (MCP) for tool use by Large Language Models and external data infusion by Anthropic. Explore the cross-ecosystem compatible A2A protocol that works with frameworks like LangGraph and crew.ai. Learn about the radical fusion of A2A and MCP in multi-agent AI systems, with extensive Python code examples and references to GitHub repositories containing the JSON schema, client, and server implementations for A2A Protocol. Builds upon previous content about Google's Agent Development Kit (ADK) for multi-agent system development, with additional resources available in linked posts.
Syllabus
Agent2Agent + (MCP to Tool) in Multi-Agent AI
Taught by
Discover AI