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MCP, A2A, and LangGraph: Distinguishing AI agent boundaries

The article clarifies the distinctions between MCP, A2A, and LangGraph, arguing they represent different types of boundaries rather than agents themselves. MCP, developed by Anthropic, is a tool protocol similar to the Language Server Protocol. Google's A2A, now a Linux Foundation project, is an agent protocol with published agent cards. LangGraph is a framework for building agents as graphs, which becomes callable when deployed behind LangGraph Platform using the Agent Protocol. The author emphasizes that composing work across these distinct boundaries is key to creating verifiable agent runs, rather than focusing on agents sharing a runtime. AI

IMPACT Clarifies distinctions between AI agent protocols, impacting how developers compose and verify multi-agent systems.

RANK_REASON The item discusses existing protocols and frameworks, analyzing their distinctions and potential for composition, rather than announcing a new release or significant industry event.

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

MCP, A2A, and LangGraph: Distinguishing AI agent boundaries

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  1. dev.to — MCP tag TIER_1 English(EN) · Azan Hyder ·

    Can MCP, A2A, and LangGraph share and compose a single verified runtime?

    <p>Here is a goal I keep coming back to:</p> <blockquote> <p>"Show me my portfolio performance, summarize <a href="https://en.wikipedia.org/wiki/Nvidia" rel="noopener noreferrer">https://en.wikipedia.org/wiki/Nvidia</a>, and turn both into a one-page brief I can read in the morni…