Skip to content

Latest commit

 

History

History
106 lines (70 loc) · 6.43 KB

README.md

File metadata and controls

106 lines (70 loc) · 6.43 KB

Getting Started

This section consists of several lessons:

  • 1 Your first server, in this first lesson, you will learn how to create your first server and inspect it with the inspector tool, a valuable way to test and debug your server, to the lesson

  • 2 Client, in this lesson, you will learn how to write a client that can connect to your server, to the lesson

  • 3 Client with LLM, an even better way of writing a client is by adding an LLM to it so it can "negotiate" with your server on what to do, to the lesson

  • 4 Consuming a server GitHub Copilot Agent mode in Visual Studio Code. Here, we're looking at running our MCP Server from within Visual Studio Code, to the lesson

  • 5 Consuming from a SSE (Server Sent Events) SSE is a standard for server-to-client streaming, allowing servers to push real-time updates to clients over HTTP to the lesson

  • 6 HTTP Streaming with MCP (Streamable HTTP). Learn about modern HTTP streaming, progress notifications, and how to implement scalable, real-time MCP servers and clients using Streamable HTTP. to the lesson

  • 7 Utilising AI Toolkit for VSCode to consume and test your MCP Clients and Servers to the lesson

  • 8 Testing. Here we will focus especially how we can test out our server and client in different ways, to the lesson

  • 9 Deployment. This chapter will look at different ways of deploying your MCP solutions, to the lesson

The Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications - it provides a standardized way to connect AI models to different data sources and tools.

Learning Objectives

By the end of this lesson, you will be able to:

  • Set up development environments for MCP in C#, Java, Python, TypeScript, and JavaScript
  • Build and deploy basic MCP servers with custom features (resources, prompts, and tools)
  • Create host applications that connect to MCP servers
  • Test and debug MCP implementations
  • Understand common setup challenges and their solutions
  • Connect your MCP implementations to popular LLM services

Setting Up Your MCP Environment

Before you begin working with MCP, it's important to prepare your development environment and understand the basic workflow. This section will guide you through the initial setup steps to ensure a smooth start with MCP.

Prerequisites

Before diving into MCP development, ensure you have:

  • Development Environment: For your chosen language (C#, Java, Python, TypeScript, or JavaScript)
  • IDE/Editor: Visual Studio, Visual Studio Code, IntelliJ, Eclipse, PyCharm, or any modern code editor
  • Package Managers: NuGet, Maven/Gradle, pip, or npm/yarn
  • API Keys: For any AI services you plan to use in your host applications

Official SDKs

In the upcoming chapters you will see solutions built using Python, TypeScript, Java and .NET. Here are all the officially supported SDKs.

MCP provides official SDKs for multiple languages:

  • C# SDK - Maintained in collaboration with Microsoft
  • Java SDK - Maintained in collaboration with Spring AI
  • TypeScript SDK - The official TypeScript implementation
  • Python SDK - The official Python implementation
  • Kotlin SDK - The official Kotlin implementation
  • Swift SDK - Maintained in collaboration with Loopwork AI
  • Rust SDK - The official Rust implementation

Key Takeaways

  • Setting up an MCP development environment is straightforward with language-specific SDKs
  • Building MCP servers involves creating and registering tools with clear schemas
  • MCP clients connect to servers and models to leverage extended capabilities
  • Testing and debugging are essential for reliable MCP implementations
  • Deployment options range from local development to cloud-based solutions

Practicing

We have a set of samples that complements the exercises you will see in all chapters in this section. Additionally each chapter also has their own exercises and assignments

Additional Resources

What's next

Next: Creating your first MCP Server

Disclaimer:
This document has been translated using AI translation service Co-op Translator. While we strive for accuracy, please be aware that automated translations may contain errors or inaccuracies. The original document in its native language should be considered the authoritative source. For critical information, professional human translation is recommended. We are not liable for any misunderstandings or misinterpretations arising from the use of this translation.

(Note: "mo" is not a recognized language code or standard language name. Could you please specify which language or dialect "mo" refers to? This will help me provide an accurate translation.)