# Agent to Agent Protocol

{% hint style="info" %}

* [**MCP**](/tools-and-tech/ai-agent-tools/agent-to-agent-protocol/model-context-protocol-mcp.md)
* [**A2A**](#google-a2a)
  {% endhint %}

### **What’s the difference between MCP and A2A?**

MCP (Model Context Protocol) and A2A (Agent-to-Agent Protocol) serve different purposes and work in distinct ways.

***

🧩 **MCP (Model Context Protocol)**\
• **Purpose**: Enables a single AI model to interact with external tools and data sources\
• **How it works**: Uses precise, structured *function calls* to connect with APIs and tools\
• **Best for**: Predictable, well-defined tasks like data retrieval, calculations, or search

***

🤖 **A2A (Agent-to-Agent Protocol)**\
• **Purpose**: Allows multiple AI agents to collaborate asynchronously by sharing tasks and outputs\
• **How it works**: Supports flexible task delegation and coordination in multi-agent environments\
• **Best for**: Complex workflows where autonomous agents need to solve problems together

***

✅ **Summary**\
• **MCP**: Enhances individual agent capabilities\
• **A2A**: Enables collaboration between multiple agents


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.aiandbusiness.com/tools-and-tech/ai-agent-tools/agent-to-agent-protocol.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.