Model Context Protocol (MCP)
Learn how MCP enables dynamic context sharing between AI models, agents, and systems. Explore practical techniques for building multi-agent systems and AI pipelines that adapt based on evolving context, using MCP principles. Get hands-on with code, tools, and frameworks to build context-driven AI assistants.
- Explore practical techniques for building multi-agent systems and AI pipelines that adapt based on evolving context, using MCP principles.
- Get hands-on with code, tools, and frameworks to build context-driven AI assistants.
Prabhakaran SPrincipal Data Scientist
Included in All-Access, one membership for every course.
- Lessons
- 7
- Video
- 1 h 37 min
- Free to watch
- 1 lesson
- Certificate
- On completion
What you'll be able to do
- Core Principles of MCP
- Context Management Techniques
- Building Context-Aware Agents
- Inter-Agent Communication via MCP
- Error Handling and Fallback Strategies
- Real-World Use Cases and Projects
- Fully working code and notebooks
Course content
1 chapter · 7 lessons · 1 h 37 min · 1 free to preview
01Introduction to MCP7 lessons · 1 h 38 min
- What exactly is MCPPreview10:44
- Important Note About Course Resources1:00
- How to build a custom MCP Server10:57
- What is Agent2Agent (A2A) Protocol - Purpose and How it works10:51
- Function Calling vs MCP20:25
- Building Agentic RAG using MCP23:14
- UV Tutorial - The Fastest Python package manager20:28
What you need
- Basics of Python
- Foundational knowledge of Data Science
- High school maths
Who this course is for
- Data Science Aspirants
- Data Science Professionals
- Software/Data engineers interested in quantitative analysis
- Professionals working with large datasets
- Data analysts, economists, researchers
Your instructor
Prabhakaran S
Principal Data Scientist
My name is Selva, and I am super excited to mentor you on this course!
I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I've deployed 20+ global products. I'm also the Founder and Chief Author of Machine Learning Plus, which has over 4M annual readers.
I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I've put up the series of courses and projects with detailed explanations, just like on-the-job experience. Hope you love it!
- from 3,965 ratings
- 4.92
- learners
- 57K+
- courses
- 85
Questions
How do I get this course?
It is part of All-Access: one membership that opens all 85 courses. The plans and prices are on our course site. You can watch the free preview lessons before you join.
Can I get a refund?
Yes. If the membership is not right for you, ask for a refund within 30 days of your first payment.
Can I learn on my phone?
Yes. Lessons play in the browser on any phone, tablet or computer, and your place is saved for the next device.
I am already a member. Where are my courses?
On our course site, edu.machinelearningplus.com. Sign in there with the email you joined with. The courses move to this site later, with your access, and you will not pay again.
