Free Download MCP Mastery Model Context Protocol with n8n & Claude
Published 8/2026
Created by Yogesh Raheja
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 44 Lectures ( 3h 51m ) | Size: 1.9 GB
Learn MCP fundamentals and build real MCP servers & AI agents with n8n, Context7, DeepWiki & Claude
What you'll learn
Understand what MCP is, why it exists, and how it's fundamentally different from a REST API Explain MCP's Host, Client, and Server architecture and how each role communicates Master the three core MCP primitives - Tools, Resources, and Prompts and when each applies Understand how MCP messages travel under the hood via JSON-RPC, stdio, and Streamable HTTP Navigate MCP's versioning, capabilities, and deprecation model to stay current as the protocol evolves Build real MCP servers in n8n exposing Google Calendar, AWS S3, and Google Drive as AI agent tools Connect an AI agent to free external MCP servers like Context7 and DeepWiki with zero custom code Connect Claude directly to n8n as a tool consumer and as a workflow builder and debugger Test and debug MCP servers using official tooling before wiring them into a live AI agent Apply a standardized, production-ready approach to connecting AI agents to real tools and dataRequirements
No prior MCP experience needed Basic familiarity with n8n is strongly recommended Free-tier accounts for Google and AWS No programming background required Claude Desktop or the Claude appDescription
"This course contains the use of artificial intelligence."
Every AI application eventually hits the same wall. it needs to reach outside itself - check a calendar, read a document, query a database, send a message. For years, that meant a custom integration for every tool, for every AI application, rebuilt from scratch each time and broken again the moment an API changed.
MCP - the Model Context Protocol - fixes that. It's an open standard that lets any MCP-compatible AI application talk to any MCP-compatible tool through one common protocol, often described as "USB-C for AI." It's moving fast, already reshaping how serious AI applications connect to the real world and understanding it today is a lot like understanding APIs a decade ago: foundational, and increasingly hard to avoid for anyone building with AI.
This course takes you fromzero to production with MCP - not just theory, but real, hands-on demos for every concept. You'll start by understanding exactly what problem MCP solves and why it exists (with simple analogies, not just documentation-speak), then go deep into its architecture - Host, Client, Server - its three core primitives (Tools, Resources, Prompts), how messages actually travel under the hood, and how the protocol itself keeps evolving.
Then you'll build. Usingn8n as your hands-on platform, you'll create your own MCP servers exposing real capabilities - Google Calendar, AWS S3, Google Drive - as tools an AI agent can call. You'll connect to free, publicly available MCP servers likeContext7 andDeepWiki without writing a single line of server code. And in the final section, you'll close the loop entirely: connectingClaude directly to n8n over MCP, in both directions - Claude calling your workflows as tools, and Claude building and troubleshooting workflows inside your own instance.
What makes this course different
Most MCP content online is either a dry read-through of the specification, or a quick "look, it works" demo with no real explanation of why it's built the way it is. This course does both properly: rigorous, accurate coverage of the protocol itself (architecture, primitives, transports, versioning)and genuinely hands-on, real-world building - using a visual, low-code platform so you can focus on understanding MCP itself, not fighting a programming language.
This course is also the direct sequel to our own"n8n AI Agents Bootcamp: RAG, DevOps, Cloud & SRE Projects" - if you've taken that course, this is exactly where your n8n skills go next. If you haven't, we still get you moving quickly through a focused n8n refresher before diving into MCP-specific content.
By the end of this course, you'll be able to
Explain what MCP is, why it exists, and how it's genuinely different from a REST API Describe MCP's Host/Client/Server architecture and its three core primitives - Tools, Resources, and Prompts Understand how MCP messages actually travel - JSON-RPC, the Data Layer, and transports like stdio and Streamable HTTP Build your own MCP servers in n8n, exposing Google Calendar, AWS S3, and Google Drive as tools for an AI agent Connect an AI agent to free, external, publicly available MCP servers (Context7, DeepWiki) with zero custom server code Connect Claude directly to your n8n instance - as a tool consumerand as a workflow builder/debugger Stay ahead of a fast-moving protocol by understanding MCP's versioning, capabilities, and deprecation model - not just what MCP looks like today, but how to keep up as it evolvesWho this course is for
Developers and AI engineers curious about MCP DevOps and SRE professionals Anyone confused about "MCP vs APIs" n8n users who want to go one level deeper Claude users who want their AI assistant to actually do thingsHomepage
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