Leaverequestmcpclientserver
What is Leaverequestmcpclientserver
MCP Chat Console App is a .NET application that integrates OpenAI’s capabilities through Semantic Kernel, allowing users to interact with a chat console for various tasks using AI models.
Use cases
This app can be utilized for chat-based applications, customer support, information retrieval, and other contexts where natural language processing and understanding are needed.
How to use
To use the application, ensure you have .NET 8.0 SDK installed, restore dependencies and build the project in the McpClientApp folder. You can run the MCP Server if necessary, and then launch the MCP Client to interact with the AI functionalities.
Key features
Key features include integration with OpenAI APIs, support for asynchronous operations, and configuration management through JSON files. The app structure supports easy modification and deployment.
Where to use
The application can be deployed in environments where conversational AI is needed, such as customer service interfaces, interactive chatbots, and tools for content generation across various industries.
Overview
What is Leaverequestmcpclientserver
MCP Chat Console App is a .NET application that integrates OpenAI’s capabilities through Semantic Kernel, allowing users to interact with a chat console for various tasks using AI models.
Use cases
This app can be utilized for chat-based applications, customer support, information retrieval, and other contexts where natural language processing and understanding are needed.
How to use
To use the application, ensure you have .NET 8.0 SDK installed, restore dependencies and build the project in the McpClientApp folder. You can run the MCP Server if necessary, and then launch the MCP Client to interact with the AI functionalities.
Key features
Key features include integration with OpenAI APIs, support for asynchronous operations, and configuration management through JSON files. The app structure supports easy modification and deployment.
Where to use
The application can be deployed in environments where conversational AI is needed, such as customer service interfaces, interactive chatbots, and tools for content generation across various industries.
Content
MCP Chat Console App
專案結構
McpClientApp
- appsettings.json: 儲存應用程式設定，例如 OpenAI API 金鑰與模型 ID。
- McpClientApp.csproj: 專案檔案，定義此應用程式的依賴與目標框架。
- Program.cs: 主程式入口，包含 Semantic Kernel 與 MCP Client 的初始化邏輯。
- bin/Debug/net8.0/: 編譯輸出的目錄，包含應用程式的 DLL、執行檔與依賴。
- obj/: 編譯過程中的中間檔案目錄。
McpServer
- McpServer.csproj: MCP Server 的專案檔案。
- Program.cs: MCP Server 的主程式入口。
- bin/Debug/net8.0/: MCP Server 的編譯輸出目錄。
- obj/: MCP Server 的中間檔案目錄。
使用方式
- 確保已安裝 .NET 8.0 SDK。
- 在
McpClientApp資料夾中執行以下命令以還原依賴：dotnet restore dotnet build - 執行 MCP Server(可以不用自己執行，執行Client即可)：
dotnet run --project ../McpServer/McpServer.csproj - 執行 MCP Client(主要是這隻)：
dotnet run --project McpClientApp.csproj
依賴套件
- Microsoft.SemanticKernel: 用於整合 OpenAI 與 MCP 工具。
- Microsoft.Extensions.Configuration.Json: 用於載入
appsettings.json。 - Microsoft.Bcl.AsyncInterfaces: 提供非同步介面支援。
注意事項
- 確保
appsettings.json包含正確的 OpenAI API 金鑰與模型 ID。 - MCP Server 的執行檔案路徑需正確配置。