MCP From Scratch – How AI Connects to Information and Tools
Understand how MCP can connect AI to information and tools – and which questions to ask about quality, speed, cost and security.
After the course you can:
- ✓Explain MCP in your own words
- ✓Recognize the roles of user, AI app and MCP server
- ✓Understand how MCP affects quality, speed and cost
USD 49 incl. applicable taxes
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12 months of access · updates included
Buy the course – USD 49Try it free first – 18 min, no account- Payment via Stripe
- 12 months of access
- Certificate with verification link
- Swedish company, reg. no. 559599-6850
Beginners who have heard the term MCP but do not yet know what it means · 105–125 minutes
What you will build
Foundations and strategy
You will learn to: Assess when MCP is needed and prepare a controlled decision brief for a first connection
You produce a decision brief for a first MCP connection: a connection map, permission model, threat check, five tests and a clear adoption decision. Decisions on operation and security review stay with people in your organization.
About the course
MCP, the Model Context Protocol, is a way to describe how an AI application can connect to external information sources and tools. The course uses a simple connector or adapter analogy and requires no coding.
You will compare a manual workflow with a connected solution and assess when a connection can provide current information, reduce manual steps or improve reuse. At the same time, you will identify costs, permissions, new sources of error and the need for clear ownership of operations and updates.
This course is for you if you
want to understand MCP without technical jargon
are considering connecting AI to data or tools
need to ask the right questions of suppliers or technical specialists
After the course you can
explain MCP in your own words
recognize clients, servers, tools, resources and permissions
compare quality, speed, cost and flexibility
identify security questions
decide whether a manual solution is enough
You will take away
an MCP checklist
a simple cost assessment
questions about access and ownership
a personal recommendation for your next step
Frequently asked questions
- Do I need to know how to code?
- No. The course requires no coding and uses plain language throughout.
- Do I need to have used MCP before?
- No. The course is written for people who have only heard the term and want to understand what it means.
- How long does the course take?
- About 105–125 minutes, and your answers are saved so you can continue later.
- Does the course teach me to build an MCP server?
- No. It gives you understanding and judgment, so you can ask the right questions of IT or a supplier.
What you will be able to do
- ✓Explain MCP in your own words
- ✓Recognize the roles of user, AI app and MCP server
- ✓Understand how MCP affects quality, speed and cost
- ✓Ask about permissions, logging and accountability
- ✓Judge when a plain project is simpler and cheaper
- ✓A personal course certificate once you have completed all parts and passed the knowledge test – with its own verification link, easy to share on LinkedIn or add to your profile.
Course content
- 1The problem MCP solves
- 2How MCP works in plain language
- 3Before and after MCP
- 4Benefits and trade-offs
- 5What MCP does not solve
- 6When MCP makes sense
- 7Economics and the cheapest path
- 8Security check before connecting
- 9Quiz and your next step
The courses are created by Michael Hammarstedt, founder of AI-agentutbildning. I'm not a programmer by background – I started with vibe coding myself. That's why the courses explain everything step by step, with no prior knowledge needed.
More about us →Read on and compare
- MCP for AI agents – what the protocol is
Background article without course exercises, if you first want to understand the concept.
Source-checked content
The course is reviewed against official documentation and established standards. The organizations below are examples of sources whose material the content builds on.
- Model Context Protocol
- OpenAI
- NIST
- OWASP GenAI Security Project
- Last checked:
- September 19, 2026
- Next scheduled review:
- December 19, 2026