Complete Intro to MCP | Frontend Masters [Update 08/2025]
English | Size: 1 GB
Genre: eLearning[/center]

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

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

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