Major technology vendors are converging around a single protocol for artificial intelligence agent communication, potentially ending the fragmentation that has limited the deployment of enterprise AI.
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From A2A to MCP, a look at the protocols that might one day help AI automate you out of a job
Tell me, Mr. Smith ... what good is an agent if it's unable to speak? We have protocols and standards for just about everything. It's generally helpful when we can all agree on how technologies should ...
Since its launch in November 2024, the Model Context Protocol (MCP) from Anthropic has gone viral, generating buzz as a simple, standardized way to connect language models with tools and data. Now, ...
On April 9, 2025, Google debuted the Agent2Agent Protocol (A2A) as a standards-based approach that would enable AI agents to discover one another, exchange information securely and collaborate across ...
The Agent2Agent communication protocol simplifies the development of self-orchestrating agentic workflows. Start building them with the new A2A .NET SDK. As we continue to move away from using AI ...
In his keynote presentation, Mike Smith, a Google staff software engineer, told the conference that the A2A protocol has evolved to make it easier to add custom extensions to the core specification.
Familiar patterns—and familiar lessons—are emerging as enterprises get serious about agentic AI and Model Context Protocol and Agent2Agent implementations. The future of enterprise architecture is ...
Google’s recently released Agent2Agent protocol has emerged as a top contender to facilitate communication and collaboration between AI agents in models and enterprises. Microsoft this week adopted ...
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