| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Protocol Foundations | |||
| 1. Important notes before you start.html | 15.5 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 | ||
| 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 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 assistant (Description).html | 1.2 KB | ||
| 33. Project overview multi-agent research assistant.mp4 | 21.4 MB | ||
| 33. lecture-32.pdf | 141.8 KB | ||
| 34. Building the MCP tool layer (search + retrieval) (Description).html | 1.3 KB | ||
| 34. Building the MCP tool layer (search + retrieval).mp4 | 41.8 MB | ||
| 34. lecture-33.pdf | 164.1 KB | ||
| 35. Building the A2A agent layer (summarizer + reviewer) (Description).html | 1.3 KB | ||
| 35. Building the A2A agent layer (summarizer + reviewer).mp4 | 43 MB | ||
| 35. lecture-34.pdf | 171.2 KB | ||
| 36. Wiring the orchestrator and running end-to-end (Description).html | 1.2 KB | ||
| 36. Wiring the orchestrator and running end-to-end.mp4 | 46.9 MB | ||
| 36. lecture-35.pdf | 163.4 KB | ||
| 37. Testing, debugging, and deployment considerations (Description).html | 1.2 KB | ||
| 37. Testing, debugging, and deployment considerations.mp4 | 12.3 MB | ||
| 37. lecture-36.pdf | 160.1 KB | ||
| 38. Lecture 37 — Course wrap-up and next steps (Description).html | 1.2 KB | ||
| 38. Lecture 37 — Course wrap-up and next steps.mp4 | 33.7 MB | ||
| 38. lecture-37.pdf | 144.3 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 | ||
| 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 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 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 |
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.
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