Demo of MCP capabilities

@ms-azure-demos

代码仓库

基本信息

分类

AI 与智能体

许可证

MIT license

传输方式

stdio

作者

ms-azure-demos

关于 Demo of MCP capabilities

Using Azure OpenAI perform series of tasks using mcp server

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

Demo of MCP capabilities 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

Demo of MCP capabilities 工具

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概览

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

常见问题

What are the prerequisites?

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

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.

What MCP server is used?

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

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.

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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