Spring ai, mcp server, aws bedrock, pg vectore store. mcp using sync SSE transport.
Overview
what is Employeemcpserver?
Employeemcpserver is a server application built using Spring AI that integrates with AWS Bedrock and utilizes a PostgreSQL vector store for efficient data handling.
how to use Employeemcpserver?
To use Employeemcpserver, clone the repository from GitHub, configure the necessary AWS credentials, and run the server using the provided commands.
key features of Employeemcpserver?
- Integration with AWS Bedrock for advanced AI capabilities.
- Utilizes PostgreSQL vector store for efficient data management.
- Supports Sync SSE transport for real-time data synchronization.
use cases of Employeemcpserver?
- Building AI-driven applications that require real-time data processing.
- Developing applications that leverage AWS services for enhanced functionality.
- Implementing data storage solutions using PostgreSQL for vector data.
FAQ from Employeemcpserver?
- What programming language is Employeemcpserver built with?
Employeemcpserver is built using Java.
- Is there any official documentation available?
Currently, there is no official documentation, but the GitHub repository contains essential setup instructions.
- Can I contribute to the project?
Yes! Contributions are welcome, and you can submit pull requests on the GitHub repository.