mcp-sse-demo
This project focuses on developing a smart shopping assistant leveraging an MCP service with SSE technology. It provides real-time product management and ordering functionalities, integrated with AI support for enhanced customer interaction and service efficiency.
What is the purpose of using SSE in MCP?
SSE is used for web-based communication, allowing real-time updates and interactions with the MCP server, which is essential for applications requiring dynamic data updates like inventory levels.
How does the MCP server interact with microservices?
The MCP server connects to product and order microservices, exposing their data through tools that can be accessed by an LLM for real-time interaction and decision-making.
What are the benefits of integrating AI with MCP?
Integrating AI with MCP allows for real-time, personalized interactions, improving user experience by providing timely product recommendations and facilitating efficient order processing.
Can MCP be used with different programming languages?
Yes, MCP can be implemented using various programming languages, including Python, TypeScript/JavaScript, and others, depending on the team's expertise and existing technology stack.
What are the key considerations for deploying MCP in production?
Key considerations include comprehensive testing, fault recovery mechanisms, monitoring system performance, and potentially adding a caching layer to reduce backend load.