mcp-for-beginners

🥇Gold

Explore the fundamentals of Model Context Protocol (MCP) with this open-source curriculum. It provides practical, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust, and Python, helping developers to create modular and secure AI workflows.

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Beginner15 minutes to implementdevelopment

Saves ~75 min per use

Quick InstallView Source

claude install microsoft/mcp-for-beginners

Works with:

GitHub CopilotVS Code

Overview

About This Skill

How to Use

["1. Choose the programming language you want to use for your MCP workflow. MCP supports .NET, Java, TypeScript, JavaScript, Rust, and Python.","2. Install the MCP library for your chosen language. For example, in Python, you can install the library using pip: `pip install mcp`.","3. Define your context and add your models to it. Make sure to properly manage the lifecycle of your contexts to avoid memory leaks.","4. Run your models and process the results. Ensure that your models are secured with appropriate access controls to protect sensitive data.","5. Use Type to collaborate with your team on your MCP workflows. Type's user-friendly interface allows teams to work together seamlessly, regardless of their location."]

Use Cases

Build modular AI applications that can be easily maintained and updated.

Create secure AI services that protect sensitive data and ensure compliance.

Orchestrate AI workflows that integrate multiple services and languages.

Implement cross-language solutions that allow seamless interaction between different programming environments.

Best For

GrowthRevOps

Setup & Installation

Quick Install

Terminal

claude install microsoft/mcp-for-beginners

Alternative Install (Git Clone)

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

Requirements

Claude Code or compatible AI agent
Works with: GitHub Copilot, VS Code

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Explain the basics of Model Context Protocol (MCP) in [LANGUAGE]. Provide a simple example of how to implement a basic MCP workflow in [LANGUAGE]. Include common pitfalls to avoid when working with MCP in [LANGUAGE].

Example Output

Model Context Protocol (MCP) is a framework designed to create modular and secure AI workflows. In Python, you can start by importing the MCP library and defining your context. Here's a basic example:

```python
from mcp import Context

# Define a context
context = Context(name="example_context")

# Add a model to the context
context.add_model("model1", "path/to/model1")

# Run the model
result = context.run_model("model1", input_data)
```

Common pitfalls to avoid include not properly managing context lifecycles, which can lead to memory leaks, and not securing your models, which can expose sensitive data. Always ensure that your contexts are properly initialized and destroyed, and that your models are secured with appropriate access controls.