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What is MCP

In the ecosystem of AI communication, there are protocols designed to facilitate interactions between agents, models, and tools. A2A is positioned to complement MCP, addressing a distinct yet related aspect of agent interaction. The Model Context Protocol (MCP) is an emerging standard focused on connecting Large Language Models (LLMs) with data and external resources. Purpose: Reducing the complexity involved in connecting agents with tools and data. Characteristics: Tools a

A2A is an open standard developed by Google and donated to the Linux Foundation, designed to facilitate communication and collaboration between AI agents ( “A2A Protocol”) Why A2A? Presently, agents are architected using various frameworks and deployed by different companies. A2A provides a common language for these agents to communicate. A2A addresses key challenges in AI agent collaboration. It provides a standardized approach for agents to interact, enabling collaboration

A2A, MCP, Agent Frameworks and Models A2A : Standardizes communication among agents deployed in different organizations and developed...