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And now? What topics I should learn?

Agentic AI is a rapidly evolving field, and understanding foundational protocols is essential for building intelligent, autonomous systems.

Two important standards you should get familiar with are:

- The Model Context Protocol (MCP)
- The Agent-to-Agent Protocol (A2A)

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🔌 Model Context Protocol (MCP)

The Model Context Protocol (MCP) by Anthropic is an open standard that enables AI models to securely and seamlessly connect with external tools, data sources, and applications, making agents more capable and autonomous.

Think of MCP as a universal adapter, like a USB-C port, that allows AI models to plug into various digital environments without needing custom integration for each one.

MCP is quickly gaining traction across the industry, with major companies like OpenAI and Google beginning to adopt it.

📚 Learn more:

- Anthropic’s official announcement and documentation
- MCP on Wikipedia
- Blog on MCP

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🤝 Agent-to-Agent (A2A) Protocol

Google has developed the Agent-to-Agent (A2A) protocol as a complementary counterpart to Anthropic’s Model Context Protocol (MCP).

While MCP connects agents to external tools, A2A connects agents to each other, paving the way for cooperative, multi-agent systems that can work together to solve complex problems.

📚 Dive deeper into A2A:

- Google’s A2A announcement

Update on GitHub