Claude Code with LSP: from searching text to understanding code
•
Artificial Intelligence
Tag: Anthropic
2 entries found
A2A vs MCP: Tools or Agents? The difference that will change how we build AI systems
6 min read
Two protocols, two philosophies
In recent months, two protocols have emerged that will change how we build AI systems: Agent2Agent Protocol (A2A) from Google and Model Context Protocol (MCP) from Anthropic. But here’s the thing: they don’t compete with each other.
In fact, after analyzing both for weeks, I’ve realized that understanding the difference between A2A and MCP is crucial for anyone building AI systems beyond simple chatbots.
The key lies in one question: Are you connecting an AI with tools, or are you coordinating multiple intelligences?
MCP for Skeptics: Why the Model Context Protocol is Worth It (even if it doesn't seem like it)
6 min read
Confession of a converted skeptic
When Anthropic announced the Model Context Protocol (MCP) in November 2024, my first reaction was: “Ah, another protocol promising to solve all integration problems”. As a DevOps Manager who has seen dozens of “universal standards” born and die, I have reasons to be skeptical.
But after several months watching MCP be massively adopted - OpenAI integrated it in March 2025, Google DeepMind in April - I decided to investigate beyond the hype. And I have to admit something: I was wrong.