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

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1006.2 MB
  • Uploaded Byfreecoursewb
  • Downloads103
  • Last checkedMay. 03rd '26
  • Date uploadedMay. 02nd '26
  • Seeders 11
  • Leechers14

Infohash : D78D53647BF84DE56CDE1FEF773622D6760597E7

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.

Files:

[ WebToolTip.com ] Udemy - MCP and A2A in Python - The Agent Protocol Course
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 1 - Protocol Foundations
    • 1. Important notes before you start.html (15.5 KB)
    • 2. Welcome and Course Roadmap (Description).html (1.2 KB)
    • 2. Welcome and Course Roadmap.mp4 (23.3 MB)
    • 2. lecture-01.pdf (140.8 KB)
    • 3. The Problem — Fragmented Agent Integrations (Description).html (1.2 KB)
    • 3. The Problem — Fragmented Agent Integrations.mp4 (29.7 MB)
    • 3. lecture-02.pdf (165.3 KB)
    • 4. MCP Architecture — Hosts, Clients, Servers (Description).html (1.2 KB)
    • 4. MCP Architecture — Hosts, Clients, Servers.mp4 (17.5 MB)
    • 4. lecture-03.pdf (143.9 KB)
    • 5. MCP Primitives — Resources, Tools, Prompts (Description).html (1.2 KB)
    • 5. MCP Primitives — Resources, Tools, Prompts.mp4 (15.3 MB)
    • 5. lecture-04.pdf (165.0 KB)
    • 6. Transports — stdio, SSE, and Streamable HTTP (Description).html (1.2 KB)
    • 6. Transports — stdio, SSE, and Streamable HTTP.mp4 (16.8 MB)
    • 6. lecture-05.pdf (158.0 KB)
    • 7. Building Your First FastMCP Server (Description).html (1.2 KB)
    • 7. Building Your First FastMCP Server.mp4 (31.8 MB)
    • 7. lecture-06.pdf (125.9 KB)
    • 8. Connecting with the MCP Inspector (Description).html (1.2 KB)
    • 8. Connecting with the MCP Inspector.mp4 (23.4 MB)
    • 8. lecture-07.pdf (140.8 KB)
    2 - Agent-to-Agent Protocol
    • 10. A2A Core Concepts — Agent Cards and Capabilities (Description).html (1.2 KB)
    • 10. A2A Core Concepts — Agent Cards and Capabilities.mp4 (24.1 MB)
    • 10. lecture-09.pdf (143.8 KB)
    • 11. Task Lifecycle — Submitted, Working, Completed, Failed (Description).html (1.2 KB)
    • 11. Task Lifecycle — Submitted, Working, Completed, Failed.mp4 (23.6 MB)
    • 11. lecture-10.pdf (167.6 KB)
    • 12. Communication Patterns — JSON-RPC, HTTP+JSON, gRPC (Description).html (1.2 KB)
    • 12. Communication Patterns — JSON-RPC, HTTP+JSON, gRPC.mp4 (11.8 MB)
    • 12. lecture-11.pdf (139.8 KB)
    • 13. A2A SDK Installation and Project Setup (Description).html (1.2 KB)
    • 13. A2A SDK Installation and Project Setup.mp4 (35.8 MB)
    • 13. lecture-12.pdf (189.3 KB)
    • 14. Building a Minimal A2A Agent Server (Description).html (1.3 KB)
    • 14. Building a Minimal A2A Agent Server.mp4 (46.2 MB)
    • 14. lecture-13.pdf (155.7 KB)
    • 15. Discovering and invoking remote agents (Description).html (1.1 KB)
    • 15. Discovering and invoking remote agents.mp4 (21.1 MB)
    • 15. lecture-14.pdf (156.6 KB)
    • 9. Why A2A — Agent-to-Agent Communication Gaps (Description).html (1.2 KB)
    • 9. Why A2A — Agent-to-Agent Communication Gaps.mp4 (30.7 MB)
    • 9. lecture-08.pdf (129.2 KB)
    3 - Synchronous Integrations
    • 16. Sync integration design request-response contracts (Description).html (1.2 KB)
    • 16. Sync integration design request-response contracts.mp4 (30.2 MB)
    • 16. lecture-15.pdf (137.2 KB)
    • 17. MCP tool invocation with structured output (Description).html (1.2 KB)
    • 17. MCP tool invocation with structured output.mp4 (26.4 MB)
    • 17. lecture-16.pdf (134.0 KB)
    • 18. A2A synchronous task submission and polling (Description).html (1.1 KB)
    • 18. A2A synchronous task submission and polling.mp4 (12.3 MB)
    • 18. lecture-17.pdf (136.1 KB)
    • 19. Error Handling and Timeout Strategies (Description).html (1.1 KB)
    • 19. Error Handling and Timeout Strategies.mp4 (23.1 MB)
    • 19. lecture-18.pdf (152.5 KB)
    • 20. Input Validation with Pydantic Models (Description).html (1.1 KB)
    • 20. Input Validation with Pydantic Models.mp4 (42.9 MB)
    • 20. lecture-19.pdf (175.3 KB)
    • 21. Lab weather service with MCP tool + A2A agent (Description).html (1.3 KB)
    • 21. Lab weather service with MCP tool + A2A agent.mp4 (26.8 MB)
    • 21. lecture-20.pdf (131.3 KB)
    4 - Asynchronous Patterns
    • 22. Why async streaming, long tasks, and event-driven agents (Description).html (1.2 KB)
    • 22. Why async streaming, long tasks, and event-driven agents.mp4 (11.8 MB)
    • 22. lecture-21.pdf (137.6 KB)
    • 23. MCP async tools with progress reporting (Description).html (1.1 KB)
    • 23. MCP async tools with progress reporting.mp4 (30.2 MB)
    • 23. lecture-22.pdf (150.2 KB)
    • 24. A2A streaming responses with Server-Sent Events (Description).html (1.1 KB)
    • 24. A2A streaming responses with Server-Sent Events.mp4 (12.9 MB)
    • 24. lecture-23.pdf (190.4 KB)
    • 25. Callback patterns and task status subscriptions (Description).html (1.2 KB)
    • 25. Callback patterns and task status subscriptions.mp4 (18.9 MB)
    • 25. lecture-24.pdf (131.2 KB)
    • 26. Lecture 25 — Python asyncio patterns for agent orchestration (Description).html (1.2 KB)
    • 26. Lecture 25 — Python asyncio patterns for agent orchestration.mp4 (30.8 MB)
    • 26. lecture-25.pdf (219.9 KB)
    • 27. Lab async document processor with streaming status (Description).html (1.3 KB)
    • 27. Lab async document processor with streaming status.mp4 (37.8 MB)
    • 27. lecture-26.pdf (161.1 KB)
    5 - Architecture Patterns
    • 28. Gateway pattern single entry point for agent access (Description).html (1.2 KB)
    • 28. Gateway pattern single entry point for agent access.mp4 (21.4 MB)
    • 28. lecture-27.pdf (132.8 KB)
    • 29. Orchestrator pattern multi-step agent workflows (Description).html (1.2 KB)
    • 29. Orchestrator pattern multi-step agent workflows.mp4 (30.4 MB)
    • 29. lecture-28.pdf (131.3 KB)
    • 30. Agent mesh peer-to-peer discovery and delegation (Description).html (1.2 KB)
    • 30. Agent mesh peer-to-peer discovery and delegation.mp4 (28.7 MB)
    • 30. lecture-29.pdf (128.3 KB)
    • 31. MCP + A2A combined topology (Description).html (1.1 KB)
    • 31. MCP + A2A combined topology.mp4 (22.1 MB)
    • 31. lecture-30.pdf (139.3 KB)
    • 32. Observability tracing agent calls with OpenTelemetry (Description).html (1.2 KB)
    • 32. Observability tracing agent calls with OpenTelemetry.mp4 (43.9 MB)
    • 32. lecture-31.pdf (155.6 KB)
    6 - End-to-End Build
    • 33. Project overview multi-agent research assist

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