Model Context Protocol .NET Samples

Name: Model Context Protocol .NET Samples
Author: microsoft

@microsoft

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Model Context Protocol .NET Samples について

A comprehensive set of samples of creating and using MCP servers and clients with .NET

基本情報

カテゴリ

その他

ライセンス

MIT

ランタイム

トランスポート

stdio

公開者

microsoft

設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

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概要

What is Model Context Protocol .NET Samples?

Model Context Protocol .NET Samples is a collection of .NET sample projects that demonstrate how to build servers using the Model Context Protocol (MCP). MCP is an open standard that provides a uniform way for AI applications to connect with data sources and tools. These samples are intended for .NET developers who want to create MCP servers for tasks like converting markdown to HTML, sending Outlook emails, retrieving GitHub Copilot configuration files, and managing to-do lists.

How to use Model Context Protocol .NET Samples?

Each sample can be installed directly into Visual Studio Code, VS Code Insiders, or Visual Studio using the provided Docker-image-based install buttons. Detailed setup and run instructions are provided in each sample’s own directory.

Key features of Model Context Protocol .NET Samples

Collection of four ready-to-run MCP servers in .NET.
Supports one-click installation in VS Code and Visual Studio.
Demonstrates integration with Azure services.
Follows the open MCP protocol for standardized AI tooling.
Shows best practices for building MCP-based workflows.

Use cases of Model Context Protocol .NET Samples

Convert markdown documents to HTML via an MCP server.
Automate sending emails through Outlook using MCP tools.
Manage to-do list items (add, remove, list) with MCP.
Retrieve GitHub Copilot customization files from the awesome-copilot repository.

FAQ from Model Context Protocol .NET Samples

What is the Model Context Protocol (MCP)?

MCP is an open protocol that standardizes how applications provide context to large language models (LLMs). It acts like a USB-C port for AI, allowing models to connect to different data sources and tools in a uniform way.

Which sample projects are included?

The repository includes four samples: Awesome Copilot (retrieves GitHub Copilot customization files), Markdown to HTML (converts markdown to HTML), Outlook Email (sends emails through Outlook), and To-do List (manages to-do list items).

How do I install a sample?

Each sample provides install buttons for Visual Studio Code, VS Code Insiders, and Visual Studio. These buttons trigger a Docker-based command that sets up the MCP server in the