mcp-for-beginners

This MCP curriculum repository demonstrates how to build and reason about Model Context Protocol (MCP) servers through simple, beginner-friendly examples across multiple languages. The readme emphasizes the MCP concept as a universal interface allowing AI models to discover and interact with tools and services in a standardized way. While this repository focuses on learning and exploration rather than running a live server, you can study the included guidance to understand how MCP servers are structured, documented, and tested, and how clients would interact with them using the MCP specification.

In practice, you would use the MCP resources here to learn about tool integration, protocol versioning, and multi-language examples. Explore the official MCP documentation, specification, and SDKs linked in the readme to see concrete patterns for exposing capabilities, describing tools, and exchanging context with AI agents. This is a learning scaffold: use it to understand how MCP servers declare their capabilities, handle context, and evolve with versioned protocol changes.

Prerequisites:

• A supported development environment (Node.js, Python, or other languages covered by MCP examples).
• Basic familiarity with git and cloning repositories.

Step-by-step:

1. Clone the repository (with translation filtering if you prefer a lighter clone):

git clone https://github.com/microsoft/mcp-for-beginners.git
cd mcp-for-beginners

2. Install language-specific dependencies as you explore each example. For JavaScript/TypeScript examples, install dependencies in the respective folders:

cd samples/js
npm install

3. Review the MCP documentation and specifications linked in the README to understand required interfaces and data structures before attempting to implement or run any server examples.
4. If you want to run a local server example, follow language-specific instructions in the relevant sample directory, ensuring you have the appropriate runtime (Node.js, Python, etc.) installed.

Notes and tips:

• This repository serves as an educational resource to understand MCP concepts across languages. It may not include a ready-to-run production server. Use the linked MCP docs for authoritative guidance.
• If you clone with translations, you can prune large translation folders using sparse-checkout as demonstrated in the README.
• Stay aligned with MCP Specification versioning (YYYY-MM-DD) to ensure compatibility when experimenting with tools and agents.
• Look for language-specific examples inside subdirectories or sample code to see concrete implementations of tool descriptions, capability declarations, and context handling.