Using Azure OpenAI perform series of tasks using mcp server
Overview
What is the OpenAI MCP Semantic Kernel Basics?
The OpenAI MCP Semantic Kernel Basics project demonstrates the capabilities of the MCP (Model Context Protocol) using Azure OpenAI to perform a series of tasks through a console application.
How to use the OpenAI MCP Semantic Kernel Basics?
To use this project, you need to replace the values in the appsettings.json file, install the required packages using the command dotnet restore, and then compile and run the console application.
Key features of the OpenAI MCP Semantic Kernel Basics?
- Integration with Azure OpenAI for advanced AI capabilities.
- Utilization of C# and .NET 8.0 for building the application.
- Support for the Model Context Protocol to enhance AI interactions.
Use cases of the OpenAI MCP Semantic Kernel Basics?
- Automating tasks using AI models in Azure.
- Developing applications that leverage semantic understanding through the MCP.
- Experimenting with AI capabilities in a .NET environment.
FAQ from the OpenAI MCP Semantic Kernel Basics?
- What are the prerequisites for using this project?
You need an Azure OpenAI account with access to the required models and Node.js installed on your machine.
- Is this project open-source?
Yes! The project is available on GitHub under the MIT license.