MCP Crash Course - Complete Model Context Protocol in a Day

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Free Download MCP Crash Course - Complete Model Context Protocol in a Day
Published: 3/2025
Created by: Eden Marco | LLM Specialist
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Expert | Genre: eLearning | Language: English | Duration: 6 Lectures ( 34m ) | Size: 297 MB

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
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
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 .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 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 serversMCP 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 accessRemote Services: External systems available over the internet (e.g., through APIs) that MCP servers can connect toKey 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 servers
Who this course is for
Advanced GenAI Users
This is an advanced course, knowledge in the GenAI Ecosystem is a must
Homepage:

https://www.udemy.com/course/model-context-protocol/

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