Udemy - Building AI Integrations with Model Context Protocol (MCP)

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Udemy - Building AI Integrations with Model Context Protocol (MCP) (Size: 2.1 GB)
  10. Building MCP Server-Client with Streamable HTTP Transport (Description).html 819.2 B
  10. Building MCP Server-Client with Streamable HTTP Transport.mp4 539.9 MB
  11. Setting Up Your Project (Description).html 716.8 B
  11. Setting Up Your Project.html 21.2 KB
  12. Setting Up MCP Servers with Claude Code (Description).html 819.2 B
  12. Setting Up MCP Servers with Claude Code.mp4 362.8 MB
  13. Setting Up Your Project (Description).html 819.2 B
  13. Setting Up Your Project.html 16.2 KB
  14. Connecting MCP Servers to Cursor (Description).html 716.8 B
  14. Connecting MCP Servers to Cursor.mp4 115.9 MB
  15. Setting Up Your Project (Description).html 716.8 B
  15. Setting Up Your Project.html 9.6 KB
  3 - Tooling Integrations
  03-claude-integration
  README.md 819.2 B
  claude_mcp_server.py 307.2 B
  main.py 102.4 B
  pyproject.toml 204.8 B
  4. Check Your Knowledge (Description).html 716.8 B
  4. Check Your Knowledge.html 18.1 KB
  5. Check Your Knowledge (Description).html 716.8 B
  5. Check Your Knowledge.html 17.5 KB
  7. Building Your First MCP Server and Client (Description).html 716.8 B
  7. Building Your First MCP Server and Client.mp4 713.4 MB
  8. MCP Message Protocol JSON-RPC 2 0 (Description).html 716.8 B
  8. MCP Message Protocol JSON-RPC 2 0.mp4 124.7 MB
  9. Understanding MCP Communication (Description).html 716.8 B
  9. Understanding MCP Communication.html 10.3 KB
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1 - MCP Foundations
  1. Check Your Knowledge (Description).html 716.8 B
  1. Check Your Knowledge.html 17.6 KB
  1. Introduction to MCP (Description).html 716.8 B
  1. Introduction to MCP.mp4 109.2 MB
  2 - Building and Protocols
  01-basic-server
  README.md 0 B
  host_client_test.py 4.6 KB
  integration_test.py 2 KB
  mcp_server.py 409.6 B
  pancake_essay.txt 1.1 KB
  pyproject.toml 307.2 B
  src
  basic_mcp_server
  02-file-manager
  README.md 1.3 KB
  client_streamable_http.py 4.3 KB
  mcp_message.py 0 B
  pyproject.toml 307.2 B
  server.py 3.8 KB
  src
  3_building_with_mcp_demo
  __init__.py 102.4 B
  __init__.py 102.4 B
  test_server.py 1.1 KB
  2. Check Your Knowledge (Description).html 716.8 B
  2. Check Your Knowledge.html 18.2 KB
  2. What is MCP (Description).html 716.8 B
  2. What is MCP.html 10.6 KB
  3. Check Your Knowledge (Description).html 716.8 B
  3. Check Your Knowledge.html 17.7 KB
  3. MCP Components and Capabilities (Description).html 716.8 B
  3. MCP Components and Capabilities.mp4 83.6 MB
  4. Main Capabilities of MCP (Description).html 716.8 B
  4. Main Capabilities of MCP.html 9.7 KB
  5. MCP Communication Flow (Description).html 716.8 B
  5. MCP Communication Flow.mp4 80.2 MB
  6. How the Communication Flow Works (Description).html 819.2 B
  6. How the Communication Flow Works.html 9.3 KB
  ▲ 60 total files

Description


Building AI Integrations with Model Context Protocol (MCP)

https://WebToolTip.com

Published 1/2026
Created by Anton Voroniuk, Anton Voroniuk Support, Lucas Soares
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 15 Lectures ( 1h 38m ) | Size: 2.1 GB

From MCP Foundations to Real Integrations with Claude and Cursor

What you'll learn
✓ What MCP is, why it exists, and how it solves the AI integration problem
✓ How MCP defines and manages “context” through tools, resources, prompts, and sampling
✓ The roles and responsibilities of MCP hosts, clients, and servers
✓ How MCP communication flows from user request to server execution and back
✓ How to build and test MCP servers and clients using FastMCP
✓ How MCP uses JSON-RPC 2.0 and streamable HTTP transport
✓ How to integrate MCP with modern AI development tools like Claude Code and Cursor

Requirements
● You do not need prior experience with MCP.

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