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Prompt Engineering Intermediate New

Building With MCP: Model Context Protocol for Real Tools

Expose your own data and actions to assistants through MCP servers you write and control.

17 students

PR Created by Priya Raman

  • Last updated August 2026
  • English
  • 10h 20m of material
  • 77 lessons

What you will learn

8 concrete outcomes

Every bullet below is something you will have built, shipped or be able to explain by the time you finish the last lesson.

  • Explain the MCP message flow, transports and capability negotiation from memory
  • Implement a minimal server by hand, then rebuild it with the official SDK
  • Model your domain as tools, resources and prompts rather than one blunt endpoint
  • Expose a database safely with read-only access and strict result limits
  • Wrap a third-party API with authentication, rate limiting and honest errors
  • Require explicit confirmation before any write reaches a real system
  • Test a server against a client and attack your own tool surface
  • Version and package a server without breaking clients already connected

Course curriculum

7 modules · 77 lessons · 10h 20m of material

11 lessons running 1h 24m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

11 lessons running 1h 32m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

11 lessons running 1h 36m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

11 lessons running 1h 38m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

11 lessons running 1h 28m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

11 lessons running 1h 24m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

11 lessons running 1h 18m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

7 modules · 77 lessons

10h 20m total length

Requirements

Short list, and deliberately so. If you meet these you can start today.

  • Solid TypeScript or Python, including asynchronous code
  • Comfortable with HTTP APIs, JSON schemas and command-line tooling
  • An assistant client that supports MCP for the integration exercises

About this course

Every assistant integration used to be bespoke. The Model Context Protocol replaced that with something an ecosystem can share: a standard way for a client to discover the tools, resources and prompts a server offers, and to call them with a known contract. This course teaches you to build servers worth connecting to.

You start with the protocol itself, working through the message flow, the transports, capability negotiation and the three primitives, tools for actions, resources for readable content and prompts for reusable instructions. You implement a minimal server by hand in TypeScript so nothing about the wire format stays mysterious, then rebuild it with the official SDK and compare.

The body of the course is a sequence of real servers. One over a Postgres database with read-only queries and strict row limits. One that wraps a third-party HTTP API with authentication, rate limits and honest error mapping. One that performs write operations behind explicit confirmation. Each is built, tested against a client, and then deliberately attacked so you can see what a careless schema exposes.

The final modules cover packaging and operations: configuring a server for desktop clients, authentication approaches, logging, versioning your tool surface without breaking existing clients, and a Python implementation of the same server for teams that prefer it.

Topics covered

Frequently asked questions

Still unsure about something? Write to misteryjj100@gmail.com and a human answers, usually the same working day.

The main build is TypeScript, and a complete Python implementation of the same servers is included in the downloads for teams working in Python.

Any MCP-capable client works. The lessons demonstrate a desktop assistant and a scripted test client so you are not blocked by client availability.

Yes. Many buyers build MCP servers over internal systems so their own team can query them conversationally without shipping a product to anyone.

Checkout is handled on our provider's secure payment page. The moment your payment clears we email your personal access link and access code to the address you used at checkout, and the same link appears in your account library. There is nothing to install and nothing to wait for.

Email misteryjj100@gmail.com within 14 days of your purchase, quote your order number, and we refund the full amount to your original payment method. No form to fill in and no questions about how much of the course you watched.

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Your instructor

PR

Priya Raman

Applied AI and machine-learning engineer

  • 236 students taught
  • 13 courses published
  • 4.3 instructor rating
  • Machine learning
  • RAG
  • Fine-tuning
  • LLM agents

Priya builds language-model features for a document-heavy SaaS product, which means she has taken retrieval and fine-tuning from a promising notebook to something on call at three in the morning. She teaches the mathematics only where it changes a decision you are about to make, and spends the rest of the time on data quality, evaluation and the cost of an agent that loops. Her courses run on a laptop and a modest API budget, so nobody has to rent a cluster to follow along. She publishes reproducible notebooks alongside every module.

See every course by Priya Raman
$79 USD

One-time payment · lifetime access

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