sk-mcp-sample
by vtjc2002
This is a Semantic Kernel sample that demonstrates a server/client implementation using the MCP (Message Communication Protocol) over SSE (Server-Sent Events). It showcases how to integrate Semantic Kernel with a real-time communication protocol.
Last updated: N/A
What is sk-mcp-sample?
This sample demonstrates a Semantic Kernel application using a server/client architecture. It utilizes the Message Communication Protocol (MCP) for communication, specifically leveraging Server-Sent Events (SSE) as the transport mechanism.
How to use sk-mcp-sample?
Detailed instructions on how to use this sample are not provided in the README. However, it would likely involve setting up the server component, configuring the client to connect to the server, and then sending/receiving messages using the defined MCP protocol over SSE. Further documentation or code comments would be needed for specific usage details.
Key features of sk-mcp-sample
Semantic Kernel Integration
MCP Implementation
SSE Transport
Server/Client Architecture
Real-time Communication
Use cases of sk-mcp-sample
Real-time AI assistant
Chatbot with Semantic Kernel integration
Event-driven AI applications
AI-powered notification system
FAQ from sk-mcp-sample
What is Semantic Kernel?
What is Semantic Kernel?
Semantic Kernel is an open-source SDK that lets you easily combine AI services like OpenAI, Azure OpenAI, Hugging Face, and more with conventional programming languages like C#, Python, and JavaScript.
What is MCP?
What is MCP?
MCP (Message Communication Protocol) is a protocol used for communication between the server and client. In this context, it likely defines the structure and format of messages exchanged.
What is SSE?
What is SSE?
SSE (Server-Sent Events) is a server push technology enabling a server to automatically send data updates to a client's web browser. It's a one-way communication protocol where the server pushes data to the client.
What are the benefits of using SSE with Semantic Kernel?
What are the benefits of using SSE with Semantic Kernel?
SSE provides a real-time communication channel, allowing for immediate updates and responses from the Semantic Kernel-powered server to the client. This is beneficial for interactive AI applications.
Where can I find more documentation?
Where can I find more documentation?
More documentation would likely be found within the code repository itself, including code comments, example usage scenarios, and potentially dedicated documentation files.