MCP + A2A Explained: The Two Protocols Every AI Agent Needs

How do AI agents connect to tools and talk to each other? Two protocols are making it possible: MCP (Model Context Protocol) from Anthropic and A2A (Agent-to-Agent) from Google. This video breaks down the architecture of both protocols — how they work under the hood and how they fit together — with real-world examples showing the actual data flow. 📺 PART OF THE SERIES: Inside the Agent Stack This is the first video in our series covering the full AI agent architecture, layer by layer. Next up: Agent Memory. 🎯 WHAT'S COVERED: The N×M integration problem — why agents need standard protocols MCP architecture — Client-Host-Server, three primitives, JSON-RPC MCP in action — step-by-step database query walkthrough A2A architecture — Agent Cards, Task lifecycle, peer negotiation A2A in action — multi-agent refund scenario with both protocols The full stack — how MCP (vertical) and A2A (horizontal) coexist 📊 KEY NUMBERS: MCP: 97M+ monthly SDK downloads, 5,800+ servers A2A: 150+ supporting organizations, SDKs in 5 languages Both governed under the Linux Foundation 🔗 SOURCES: Anthropic MCP Specification: modelcontextprotocol.io Google A2A Protocol: a2a-protocol.org Linux Foundation AAIF: linuxfoundation.org Gartner agent forecast (2026) Deloitte Emerging Tech Trends (2025) ⏱️ TIMESTAMPS: 0:00 - Introduction 0:50 - The Connection Gap 1:55 - How MCP Works 3:15 - MCP In Action: Database Query 4:20 - How A2A Works 5:40 - A2A In Action: Agent Refund 6:50 - The Full Stack 7:55 - What's Next #MCP #A2A #AIAgents #ModelContextProtocol #AgentToAgent #AIArchitecture #AIInfrastructure #Anthropic #Google #LinuxFoundation #AIProtocols #AgenticAI #TechExplained #InsideTheAgentStack Subscribe to Scrollypedia for more technical deep dives into AI infrastructure. DISCLAIMER: This content is for educational purposes. All statistics are sourced from publicly available reports and company announcements as of March 2026. Market projections are based on industry research reports and should not be considered investment advice. © 2026 Scrollypedia