MCP Server Sample

Name: MCP Server Sample
Author: qmatteoq

@qmatteoq

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MCP Server Sample について

This project demonstrates a Model Context Protocol (MCP) server and client implementation in .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

qmatteoq

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 MCP Server Sample?

MCP Server Sample is a .NET demonstration of a Model Context Protocol (MCP) server and client for managing employee vacation days. It exposes vacation tracking, querying, and updating capabilities through MCP tools using SSE and stdio transports. This sample is intended for developers learning to implement MCP with .NET or TypeScript.

How to use MCP Server Sample?

Install the required prerequisites (.NET SDK 9.0 or Node.js) and start the Azurite Table service emulator. For the stdio sample, connect a client using dotnet run --project src/csharp/Stdio/MCP.Stdio.Server/MCP.Stdio.Server.csproj (C#) or node /src/ts/stdio/server/dist/app.js (TypeScript). For the SSE sample, update appsettings.json with your Azure OpenAI connection string, then run dotnet run --project MCP.SSE.AppHost/MCP.SSE.AppHost.csproj and open http://localhost:5291/ in a browser.

Key features of MCP Server Sample

MCP server for tracking, querying, and updating vacation balances
Two transport layers: HTTP Streaming (SSE) and standard I/O (stdio)
Implementations in both .NET and TypeScript
Blazor web client using Semantic Kernel
Integration with Teams AI library
Uses Azurite emulator for Azure Table storage

Use cases of MCP Server Sample

Learn how to build and run an MCP server with .NET
Prototype a vacation management backend service
Test MCP clients against a real server (e.g., Visual Studio Code, AI Toolkit)
Integrate MCP tools into Copilot Studio or Semantic Kernel agents
Experiment with SSE vs. stdio transport in MCP

FAQ from MCP Server Sample

What transports does MCP Server Sample support?

The sample includes both SSE (HTTP Streaming) and stdio (standard input/output) transport layers.

What are the prerequisites to run the sample?

You need .NET SDK 9.0, Node.js, Visual Studio Code, and the Azurite extension for the table storage emulator.

How do I run the SSE sample?

Open the appsettings.json in the MCP.SSE.AppHost project, set the openAiConnectionName with your Azure OpenAI connection string, start Azurite, and run dotnet run --project MCP.SSE.AppHost/MCP.SSE.AppHost.csproj. Then open http://localhost:5291/ to use the Blazor UI.

How do I connect a client to the stdio server?

Use the command dotnet with arguments run --project src/csharp/Stdio/MCP.Stdio.Server/MCP.Stdio.Server.csproj for the .NET version, or node with /src/ts/stdio/server/dist/app.js for TypeScript.