MCP Crash Course: Complete Model Context Protocol in a Day
Category: Tutorials
- views: 206
- date: 26 December 2025
- posted by: AD-TEAM

MCP Crash Course: Complete Model Context Protocol in a Day
2025-05-02
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 3.06 GB | Duration: 5h 16m
Build, Connect, Deploy: Master MCP Servers, MCP Clients, Tools & Resources for Powerful LLM Applications
What you'll learn
Model Context Protocol (MCP) Theory
Model Context Protocol (MCP) Servers
Model Context Protocol (MCP) Clients
Model Context Protocol (MCP) Tools, Resources, Prompts
MCP Security
Requirements
Knowledge in the GenAI Ecosystem is a MUST
Software Engineering Experience is a MUST
NodeJS installed
Python Installed
Claude Desktop Installed
Cursor Installed
Description
**Course is in beta, new content every few days.**Please note that this is not a course for beginners. This course assumes that you have a background in software engineering and are proficient in Python. I will be using Cursor IDE but you can use any editor you'd like since we only use basic feature of the IDE like debugging and running scripts .nMCP (Model Context Protocol): A protocol that helps build agents and complex workflows on top of LLMs, providing pre-built integrations, flexibility to switch between LLM providers, and security for your data.Architecture ComponentsMCP Hosts: Programs like Claude Desktop, Cursor, Windsurf, or AI tools that want to access data through MCPMCP Clients: Protocol clients that maintain 1:1 connections with servers (Content ETA April)MCP Servers: Lightweight programs that each expose specific capabilities through the standardized Model Context ProtocolLocal Data Sources: Your computer's files, databases, and services that MCP servers can securely access (Content ETA End of March)Remote Services: External systems available over the internet (e.g., through APIs) that MCP servers can connect to(Content ETA End of March)Key CapabilitiesResources: Components that expose data and content from your servers to LLMsPrompts: Functionality to create reusable prompt templates and workflowsTools: Features that enable LLMs to perform actions through your serverSampling: Capability that lets your servers request completions from LLMsTransports: MCP's communication mechanism between clients and serversTopic Covered:MCP + Agent Security best practicesContainerizing MCP ServersProtocol FlowMCP + DockerMCP + LangChain OAuth 2.0 with MCP featuring Auth0MCP Deployment (featuring Cloud flare)A2A - Agent 2 Agent Protocol (WIP)
Who this course is for:
Advanced GenAI Users, This is an advanced course, knowledge in the GenAI Ecosystem is a must
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