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A2A vs MCP - How These AI Agent Protocols Actually Differ
By Adrien Payong2026๋
3์ 6์ผ
**A2A vs MCP - How These AI Agent Protocols Actually Differ**
As AI applications scale, more teams are relying on agents. Agents are autonomous software components that can think, plan, act, and interact with other agents. When designing large-scale multi-agent systems, architects have built two families of protocols to address distinct interoperability problems. AgentโtoโAgent protocols define how one agent communicates with another agent. Model context protocols standardize how your AI application or agent connects to tools, resources, prompts, APIs, agents, or other systems...
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As AI applications scale, more teams are relying on agents. Agents are autonomous software components that can think, plan, act, and interact with other agents. When designing large-scale multi-agent systems, architects have built two families of protocols to address distinct interoperability problems. AgentโtoโAgent protocols define how one agent communicates with another agent. Model context protocols standardize how your AI application or agent connects to tools, resources, prompts, APIs, agents, or other systems...
---
**[devsupporter ํด์ค]**
์ด ๊ธฐ์ฌ๋ DigitalOcean์์ ์ ๊ณตํ๋ ์ต์ ๊ฐ๋ฐ ๋ํฅ์ ๋๋ค. ๊ด๋ จ ๋๊ตฌ๋ ๊ธฐ์ ์ ๋ํด ๋ ์์๋ณด์๋ ค๋ฉด ์๋ณธ ๋งํฌ๋ฅผ ์ฐธ๊ณ ํ์ธ์.