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Demo of MCP capabilities

@ms-azure-demos

リポジトリ

基本情報

カテゴリ

AI とエージェント

ライセンス

MIT license

トランスポート

stdio

作者

ms-azure-demos

Demo of MCP capabilities について

Using Azure OpenAI perform series of tasks using mcp server

#csharp#dotnet#mcp#open-ai#semantic-kernel#azure-open-ai#mcp-client

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リポジトリ

Demo of MCP capabilities のツール

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概要

What is Demo of MCP capabilities?

Demo of MCP capabilities is a C# console application that uses Azure OpenAI to perform a series of tasks through the Model Context Protocol. It integrates Semantic Kernel and the puppeteer MCP server, targeting developers exploring MCP with Azure OpenAI.

How to use Demo of MCP capabilities?

Replace the values in appsettings.json, run dotnet restore to install packages, then compile and run the console application. No specific commands beyond these are mentioned.

Key features of Demo of MCP capabilities

  • Built with .NET 8.0 and C#
  • Uses Azure OpenAI for AI reasoning
  • Integrates Microsoft.SemanticKernel
  • Depends on the @modelcontextprotocol/server-puppeteer MCP server
  • Requires Node.js for the puppeteer server execution

Use cases of Demo of MCP capabilities

  • Demonstrating browser automation via MCP and Azure OpenAI
  • Prototyping task sequences with Semantic Kernel and MCP
  • Testing Azure OpenAI integration with the Model Context Protocol

よくある質問

1

What are the prerequisites?

An Azure OpenAI account with access to required models and Node.js installed on your machine.

2

How do I configure and run the demo?

Edit the `appsettings.json` file with your values, run `dotnet restore` to install packages, then compile and run the console application.

3

What MCP server is used?

The demo uses the `@modelcontextprotocol/server-puppeteer` npm package as its MCP server.

4

What technologies are involved?

Azure OpenAI, C#, .NET 8.0, Semantic Kernel, the ModelContextProtocol NuGet package, Node.js, and the puppeteer MCP server via npx.

5

Is there any additional configuration needed?

Yes, you must replace placeholder values in `appsettings.json` before running the application. No other configuration steps are documented.

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