MCP and A2A Revolutionizing Interconnection and Collaboration of AI Agents
summary
MCP defines a standard for LLM tool calls (STDIO or streamable HTTP), adds OAuth and an on‑behalf‑of flow for per‑user backend access, and exposes tools through an MCP Inspector. A2A defines agent discovery and communication using agent cards, task IDs, polling or SSE streaming, and artifact delivery. A demo shows an agent mesh where a host agent chains GPS → weather → attractions and another agent finds Airbnb via MCP servers, working with only minor UI glitches.
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chapters (10)
- 0:00Introduction
- 1:09MCP and A2A motivations
- 3:15MCP protocol evolution
- 8:12MCP architecture
- 16:36MCP demo
- 22:18A2A protocol overview
- 27:12A2A components
- 35:24A2A demo
- 43:35Summary and outlook
- 45:17Q&A
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