Udemy - MCP and A2A in Python - The Agent Protocol Course

MCP and A2A in Python: The Agent Protocol Course

https://WebToolTip.com

Published 4/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 5h 29m | Size: 1006.19 MB

Ship production MCP servers, A2A clients, and multi-agent integrations in Python. Verified against current SDKs.

What you'll learn
Build FastMCP servers in Python that expose resources, tools, and prompts any MCP-compatible agent can consume.
Implement A2A servers and clients with the a2a-sdk, including agent cards, capability discovery, and streaming responses.
Design synchronous request-response integrations with retries, timeouts, and structured error handling that survive production traffic.
Deploy asynchronous, event-driven agent patterns with SSE streaming, callbacks, and long-running task orchestration.
Apply gateway, orchestrator, and mesh architectures to coordinate multiple agents across teams and services.
Combine MCP and A2A in an end-to-end capstone: a multi-agent research assistant you build from zero to deployment.

Requirements
Working Python proficiency: functions, classes, decorators, and type hints. If you can read a FastAPI handler you are ready.
Basic HTTP and REST. Familiarity with gRPC helps but is optional.
Comfort with AI agents and LLM tool-calling concepts. Prior experience with LangChain, LlamaIndex, or the OpenAI SDK counts.
Async programming in Python is helpful but not required. A focused refresher on asyncio is included in the course.
A laptop with Python 3.12 or newer, VS Code, and a terminal. Windows, macOS, and Linux all work.