AI and web protocols

Understand MCP, A2A, HTTP, transport, and the protocol choices behind interoperable agent systems.

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Guides and analysis

AI Agent Protocols Explained: MCP, A2A, ACP, and AG-UI

A practical guide to AI agent protocols: MCP for tools and context, A2A for agent-to-agent tasks, ACP for interoperable agents, and AG-UI for agent-driven user interfaces.

MCP Protocol Complete Guide: 2026 AI Agent Development Standard from Theory to Production

An in-depth guide to Model Context Protocol (MCP), covering architecture design, hands-on server/client development, multi-agent collaboration patterns, and production deployment best practices with complete code examples.

Google A2A Agent Protocol: Multi-Agent Interoperability, Task Delegation, and MCP Comparison

Deep dive into Google A2A agent-to-agent protocol for 2026, covering agent cards, task lifecycle, delegation patterns, security model, and comparison with MCP for production multi-agent systems.

MCP Protocol in Practice: Building AI Agent Tool Chains with Model Context Protocol

Complete guide to Model Context Protocol (MCP) for AI agent tool integration, covering MCP server development, tool discovery, multi-agent orchestration, and production deployment patterns.

WebTransport Guide: Streams, Datagrams, HTTP/3, and When To Use It

A practical guide to WebTransport for real-time browser apps: how it differs from WebSocket and WebRTC, when datagrams or streams make sense, and what to check before production.