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MCP & Tool Protocols

Agent-to-Agent protocol

A shared set of rules that helps AI helpers from different systems find and communicate with one another.

Example

One agent exchanges task information with a compatible agent using A2A.

Why people use it

It helps separately built AI agents exchange task information in an agreed way.

What you'll hear

“Can these two agents work together through A2A?”

What this means for you

Confirm compatibility and define what information or actions may cross the boundary.

Can you control it?

Sometimes

Sometimes. Your choices depend on the tool and your access. The settings available to an everyday user may differ from those available to the people running it.

Common questions

Does a shared protocol make every agent trustworthy or able to work together?
No. Implementations, permissions and security still require checking.
Is it the same as MCP?
No. A2A focuses on communication between agents; MCP focuses on connections to tools and information.
Does it require exposing every internal detail?
No. Agents can exchange task information without sharing all of their internal workings.

Related terms

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