MCP Crash Course: Complete Model Context Protocol in a Day | Udemy [Update 04/2025]
English | Size: 3.07 GB
Genre: eLearning[/center]

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

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 .
Ideal students are software developers / data scientists

MCP (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 Components

MCP Hosts: Programs like Claude Desktop, Cursor, Windsurf, or AI tools that want to access data through MCP

MCP 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 Protocol

Local 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)

Authenticaiton

Key Capabilities

Resources: Components that expose data and content from your servers to LLMs

Prompts: Functionality to create reusable prompt templates and workflows

Tools: Features that enable LLMs to perform actions through your server

Sampling: Capability that lets your servers request completions from LLMs

Transports: MCP's communication mechanism between clients and servers

Topic Covered:

MCP + Agent Security best practices

Containerizing MCP Servers

Protocol Flow

MCP + Docker

MCP + LangChain

OAuth 2.0 with MCP featuring Auth0

MCP Deployment (featuring Cloudflare)

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
Data Scientists
Application Developers

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