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MCP Crash Course πŸš€

MCP Crash Course πŸš€

Local
github.com/phatpham-katalonDeveloper Tools0Updated 81w ago

About MCP Crash Course πŸš€

A hands-on tutorial repository for developers learning the Model Context Protocol through topic branches and commit history. Its topics include SSE, LangChain adapters, and Docker-based containerization.

Key features

  1. 01Organizes lessons by topic branches
  2. 02Teaches concepts through commit history
  3. 03Covers MCP implementation with SSE
  4. 04Explores LangChain adapter integration
  5. 05Introduces Docker containerization

Use cases

  1. 01Follow commits to learn MCP implementations
  2. 02Explore MCP integration with LangChain adapters
  3. 03Learn to containerize MCP applications with Docker

MCP support

The project teaches MCP concepts and implementation through topics covering SSE, LangChain adapter integration, and Docker containerization. It is not itself an MCP service for clients to call.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MCP Crash Course πŸš€

MCP Tool Call Demo

Twitter Follow License

udemy

Welcome to the MCP Crash Course! This repository is designed to teach you the fundamentals and advanced concepts of the Model Context Protocol (MCP) in a hands-on way.

What is MCP? πŸ’‘

The Model Context Protocol (MCP) helps connect AI-agentic applications powered by Large Language Models (LLMs) to external tools and data sources, enabling more capable and context-aware AI systems.

How it Works πŸ€”

This repository uses a unique branch-based structure for learning:

  1. Each project/* branch covers a specific MCP feature or concept.
  2. Within each branch, commits are ordered chronologically. Follow the commits one by one to learn the topic step-by-step.

Simply check out the branch for the topic you want to learn and walk through the commits!

Available Topics (Branches) πŸ“š

Here are the topics currently available:

  • project/sse: Learn how to implement Server-Sent Events (SSE) with MCP.
  • project/langchain-mcp-adapters: Explore integrating MCP with LangChain adapters.
  • project/docker-mcp: Understand how to containerize your MCP applications using Docker.

More topics might be added, so keep an eye out!

Prerequisites πŸ› οΈ

Before you start, make sure you have the following installed:

  • 🐍 Python (version 3.10 or higher)
  • πŸ“¦ uv (the fast Python package installer and resolver)
  • ✨ Cursor IDE
  • ☁️ Claude Desktop

Getting Started ▢️

  1. Clone the repository:
    git clone https://github.com/emarco177/mcp-crash-course.git
    cd mcp-crash-course
    
  2. Choose a topic and check out the branch:
    # Example for the SSE topic
    git checkout project/sse
    
  3. Follow the commits: Use git log --oneline --reverse to see the chronological list of commits for the branch. Then, use git checkout <commit_hash> or your Git client to step through the history and learn.

Contributing 🀝

Contributions are welcome! If you'd like to add a new topic or improve an existing one:

  1. Fork the repository.
  2. Create a new branch for your feature following the naming convention: project/your-mcp-feature-name.
  3. Make your changes, ensuring each commit represents a logical step in the learning process.
  4. Open a Pull Request against the main branch.

License πŸ“„

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

Happy learning! πŸŽ‰

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.