MCP: Learn the Universal Language for AI Integration

Dive into the Model Context Protocol and code an MCP server from scratch! Leverage external APIs, interact with custom applications, and learn security best-practices to ensure safe AI agent deployment.

MCP: Learn the Universal Language for AI Integration

Why Learn Model Context Protocol?

Connect a Data Source to any AI Model with MCP

First-Principles Approach

Understand how MCP servers work under the hood by building one from scratch. Set up MCP clients, register tools, and explore several integration strategies.

Extend the Capabilities of any LLM

Load data from private or external APIs and feed it into any LLM to open up more possibilities for automation and AI integrations.

Augment Your Developer Workflow

Leverage MCP in AI coding tools to give agents access to source control, CI/CD pipelines, database operations, and testing tools.

Future-Proof Your AI Integration Skills

MCP is an emerging standard for AI systems to access external data and tools, and understanding the foundations, design patterns, and security strategies keeps you ahead of the curve.

What You'll Learn

Integrate AI Agents with Services Through Client-Server Architectures

27
Lessons
3.9
Hours
5
Rating
Certificate of Completion
Learn at Your Own Pace

Dive into the Model Context Protocol and code an MCP server from scratch! Leverage external APIs and interact with custom applications. Compare remote versus local implementation strategies and security best practices to ensure safe AI agent deployment.

  • Learn how AI agents function and set up an MCP client
  • Code an MCP server from scratch, manually register agent tools, and test the MCP with JSON RPC
  • Understand features and design patterns, including resources, prompts, sampling, and elicitation
  • Build real-world MCP tools for an Issue Tracker application to automate creating and assigning tickets
  • Install MCP tools into Claude Code to create a robust AI workflow by integrating with GitHub, Neon, Linear, Playwright, and Context7

Bleeding Edge MCP Development

Build MCP for clients like Claude Desktop, Claude Code, and Tome.

Claude Code Open AI
Instructor Brian Holt
Brian Holt Staff Product Manager at Neon

Your (Awesome) Instructor

It's becoming necessary for us to stay as productive as possible. So the more you invest in understanding how to use AI and MCP, I think the better off you're going to be.

An Engineer, Leader, & Teacher Who Builds for Top Companies

With deep experience building developer tools at Microsoft, Stripe, Netflix, and Reddit, Brian Holt brings a passion for engineering, teaching, and creating world-class developer experiences to every project.

Staff Product Manager

Building dev tools and dev experience for open-source cloud-native PostgreSQL.

Product Manager

Led dev tool products including Stripe CLI, VS Code extensions, server SDKs, and React Native SDKs.

Senior UI Engineer

Architected core UI infrastructure, taught React internally, and drove A/B testing at scale.

Introduction
29 minutes
Creating an MCP Server
1 hour, 42 minutes
Issue Tracker MCP Server
50 minutes
SSEs and Streaming HTML
12 minutes
Vibe Coding & MCP Security
32 minutes
Wrapping Up
3 minutes
3 hours, 51 minutes
Frontend Masters course player

Best in Class Course Player

Your MCP Learning Adventure Begins Here

  • Course Progress: Learn at your own pace and pick up right where you left off.
  • Robust Note-Taking: Take notes alongside transcripts to easily reference information while learning.
  • Q&A and Code Corrections: Submit and view questions and answers, as well as code corrections.
Sample completion certificate

Earn a Completion Certificate

After completing this course, you'll receive a certificate of completion that serves as proof of your achievement, showcasing your expertise, and commitment to professional development. You can easily share this certificate on your LinkedIn profile to highlight your new skills and demonstrate continuous learning to potential employers and professional connections.

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