MCP: Build Rich-Context AI Apps with Anthropic

MCP: Build Rich-Context AI Apps with Anthropic
Learn MCP alongside the team that created the standard, with lessons on building your own server and client.
A short DeepLearning.AI course with Anthropic on the Model Context Protocol (MCP): build servers and clients to connect AI with data and tools.
Overview
MCP is an open standard that lets AI applications connect to tools and data sources in a unified way. The course explains how MCP works, then has you build an MCP server and connect it to a chat application.
Basic Python is required.
Highlights
In partnership with Anthropic
The organization that proposed the MCP standard.
Build from scratch
Build the server and client yourself.
Notebooks ready
Learn right in the browser.
What it's for
Let AI read internal data
Connect Claude to the company's database or systems through MCP.
Reuse tools across many AIs
One MCP server works with many applications.
How to use it
- 1
Open the course page
Click Open official page to go to the DeepLearning.AI page.
- 2
Sign up for an account
Create a free account to save your learning progress.
- 3
Learn lesson by lesson
About a few hours in total; split it into 30-60 minutes a day.
- 4
Apply it to real work right away
After each lesson, retry the technique you just learned on a specific task of yours.
FAQ
Is this course free?
Yes, free access on DeepLearning.AI.
How long does it take?
About a few hours.
Is there a Vietnamese version?
English, with subtitles.
Useful links
Want to apply this in your business?
2dm looks at your workflows, picks the right tools and sets them up with your team. The first call is free.
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