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atlas

Don't confuse these

Agent2Agent protocol (A2A) vs Model Context Protocol (MCP)

Why they differ

MCP connects one agent to its tools and data; A2A connects whole agents to other agents as equals that may think and work for a long time.

Agent2Agent protocol (A2A)

Agents & tools

An open standard that lets AI agents built by different companies find each other, hand over tasks and share results.

Formal

An open protocol in which each AI agent publishes a card describing what it can do and how to reach it, and other agents send it tasks over the web, follow their progress and receive results, without seeing how the agent works inside.

In plain English

Like a shared job board for freelancers - each posts what they are good at, and others can hire them for a piece of work without caring how they do it.

In practice

A travel coordinator at a ministry uses a trip-planning agent that finds a travel agency's booking agent through its card, sends the dates and budget over A2A and gets back three priced options an hour later.

Why it matters

It could let agents from different vendors work together, but every agent you accept work from is a stranger whose answers need the same doubt as any outside input.

Model Context Protocol (MCP)

Agents & tools

An open standard for plugging tools and data into AI assistants, so each tool is hooked up once and works in many apps.

Formal

An open protocol in which an AI app, acting as a client, connects to MCP servers that offer tools, readable data and ready-made prompts as JSON messages; the app lists what each server offers and passes tool calls to it. Begun by one AI company in 2024, it has been run by a neutral foundation under the Linux Foundation since December 2025.

In plain English

Like the standard wall plug - once every lamp and kettle uses the same shape, you can move any of them to any room without rewiring.

In practice

The IT lead at a Danish upper-secondary school connects the support case system and the shared drive to an AI assistant by listing two MCP servers in a settings file; the same two servers then work unchanged in the staff chat app.

Why it matters

It ends the need to build a separate link for every tool and every AI app, but it also makes it very easy to hand an assistant wide reach you have not checked.

Shared connections

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