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MCP Academy

PYTHONAiBackendEnterprise

Build AI tools and integrations with the Model Context Protocol, the open standard that connects LLMs to data, tools, and APIs.

🤖 AI-Powered📚 30 courses👥 100,000+ learners⭐ 4.9 rating
Course Overview

Model Context Protocol (MCP): Build AI Tools

Build AI tools and integrations with the Model Context Protocol, the open standard that connects LLMs to data, tools, and APIs. This track covers 30 progressive mini-courses from absolute beginner (A1) through advanced (B2), with short focused lessons and quick quizzes to lock in each concept.

What You Will Learn

You start with the fundamentals and build up through intermediate and advanced topics, each course building on the last. Every lesson is practical and bite-sized, with a 24/7 AI tutor available when you need help.

How It Works

Each course is broken into four focused, bite-sized lessons. Complete a few lessons a day and you will master the full track in weeks, not months.

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How You'll Learn

🎯
Interactive Lessons
Hands-on coding exercises with real-time feedback
🤖
AI Tutor
Get instant help from our AI when you're stuck
💻
Built-in Editor
Write and run code directly in your browser
🏆
Certificate
Earn a certificate when you complete the course
Curriculum

30 Courses

Every course in the MCP Academy learning path.

01

What MCP Is & Why It Exists

A14 lessons

Explain what the Model Context Protocol solves and where it fits in an AI stack.

02

Hosts, Clients & Servers Explained

A14 lessons

Map the three MCP roles and how a single message flows between them.

03

JSON-RPC: The Language of MCP

A14 lessonsPRO

Read and reason about the JSON-RPC messages MCP sends under the hood.

04

Set Up Your MCP Workspace

A14 lessonsPRO

Install the Python SDK and tooling so you can build and run servers.

05

Your First MCP Server

A14 lessonsPRO

Build, run, and verify a minimal working MCP server from scratch.

06

The Three MCP Primitives

A24 lessonsPRO

Tell tools, resources, and prompts apart and choose the right one.

07

Define a Tool That Does Work

A24 lessonsPRO

Write a real, useful MCP tool with clear arguments and output.

08

Expose a Resource to the Model

A24 lessonsPRO

Serve files and data as MCP resources the AI can read.

09

Build Reusable Prompt Templates

A24 lessonsPRO

Create MCP prompts that turn user input into ready-made instructions.

10

Run, Test & Inspect Your Server

A24 lessonsPRO

Use stdio, Claude Desktop, and MCP Inspector to verify your server works.

11

Type-Safe Tool Inputs with Pydantic

B14 lessonsPRO

Validate and document tool arguments using Pydantic models.

12

Structured & Typed Tool Outputs

B14 lessonsPRO

Return rich, predictable results so clients can parse them reliably.

13

Dynamic Resources & Templates

B14 lessonsPRO

Generate resources on demand from parameters in their URIs.

14

Server Lifecycle & Context

B14 lessonsPRO

Manage startup, shutdown, and per-request context cleanly.

15

Robust Error Handling in Servers

B14 lessonsPRO

Surface failures to the model and clients without crashing the server.

16

Serve MCP over Streamable HTTP

B14 lessonsPRO

Move beyond stdio to expose your server over HTTP for remote use.

17

Authenticate Your HTTP Server

B14 lessonsPRO

Protect a remote MCP server with token-based authentication.

18

Sampling: Let the Server Ask the Model

B14 lessonsPRO

Use sampling so your server can request completions from the host's LLM.

19

Roots & Client Capabilities

B14 lessonsPRO

Discover the directories and capabilities a client exposes to your server.

20

Progress, Cancellation & Logging

B14 lessonsPRO

Report progress, honor cancellations, and emit structured logs to clients.

21

Design Production-Grade Servers

B24 lessonsPRO

Structure a server that is reliable, configurable, and ready to ship.

22

Security & Permission Design

B24 lessonsPRO

Threat-model an MCP server and enforce least-privilege access.

23

Build an MCP Client in Python

B24 lessonsPRO

Write your own client that connects to and drives MCP servers.

24

Connect MCP to Databases & APIs

B24 lessonsPRO

Wrap real data sources and web services as MCP tools and resources.

25

Orchestrate Multiple Servers

B24 lessonsPRO

Combine several MCP servers and discover them through registries.

26

Deploy a Remote MCP Server

B24 lessonsPRO

Containerize and host an MCP server reachable over the internet.

27

Observability for MCP Servers

B24 lessonsPRO

Add tracing, metrics, and logs to see what your server is doing.

28

Performance & Scaling

B24 lessonsPRO

Make MCP servers fast and able to handle concurrent load.

29

Capstone: A Real MCP Server

B24 lessonsPRO

Ship a complete, documented MCP server that integrates a real service.

30

MCP in the Wider Agent Ecosystem

B24 lessonsPRO

Position MCP alongside agent frameworks and the A2A protocol.

FAQ

Frequently Asked Questions

Is the MCP Academy course free?

Yes. You can start the MCP Academy course for free and complete its interactive lessons at no cost. An optional PRO subscription unlocks advanced AI tools and a shareable certificate.

Do I need prior experience to learn PYTHON?

No. The course begins with the fundamentals and gradually moves to more advanced topics, so you can start even with no prior PYTHON experience.

How will I learn PYTHON on CoddyKit?

You learn by doing. Short interactive lessons pair a clear explanation with a hands-on coding exercise that runs in real time, and a 24/7 AI tutor gives personalized help whenever you get stuck.

Do I get a certificate for completing MCP Academy?

Yes. PRO learners can take an exam and earn a shareable certificate of completion with a verifiable code for the MCP Academy course.

Can I learn PYTHON on my phone?

Yes. CoddyKit is available on the web and as native iOS and Android apps, so you can learn PYTHON on any device and your progress syncs across them.

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