Model Context Protocol: Build Production-Ready AI Integrations

A DeepTrack course on Model Context Protocol from first principles to production. Learners build MCP servers, expose tools/resources/prompts, connect external systems, design secure permission boundaries, test and observe integrations, and complete a production-ready capstone.

28Sessions
IntermediateLevel

Core competency stack

Start Learning for Free↓ 5 modules, 28 sessions below

Learning Path

28 sessions. Open a chapter to see every session, its brief, and the tools you'll use.

  • Why MCP Exists

    Learn the integration problem MCP solves and why AI systems need a standard way to access tools, data, and context.

    MCP concepts

  • MCP Mental Model

    Build the core mental model: hosts, clients, servers, tools, resources, prompts, and transports.

    MCP concepts

  • Anatomy of an MCP Interaction

    Walk through a complete MCP interaction from user request to tool execution and model response.

    Sequence mapping

  • When to Use MCP

    Learn where MCP is useful, where it is overkill, and how to choose between MCP, direct APIs, RAG, and custom tool calling.

    Decision tree