What is Amazon Bedrock Converse API and Database MCP Server Integration?
This project demonstrates the integration of AWS Bedrock's Conversational AI capabilities with relational databases through the Model Context Protocol (MCP) Server architecture, enabling natural language interactions with databases in a query-only mode.
How to use the project?
To use this project, clone the repository from GitHub, set up your development environment, configure your AWS account and RDS PostgreSQL database, and run the application to query your database using natural language.
Key features of the project?
- Integration of RDS PostgreSQL and SQLite with AWS Bedrock's Foundational Models using MCP.
- Natural language querying of databases using Bedrock foundation models.
- Secure and efficient database operations through MCP Server.
- Adding Generative AI capabilities to existing applications.
Use cases of the project?
- Enabling conversational interfaces for database applications.
- Simplifying database queries for non-technical users.
- Enhancing existing applications with AI-driven insights.
FAQ from the project?
-
What databases are supported?
The sample focuses on RDS PostgreSQL and SQLite but can be adapted for other databases supporting MCP integration.
-
Is there a cost associated with using this project?
Yes, using AWS services like RDS and Bedrock may incur costs based on usage.
-
What are the prerequisites for using this project?
An AWS account, IAM permissions, access to Bedrock LLMs, and a local development environment with Python and necessary libraries.
What is Amazon Bedrock Converse API and Database MCP Server Integration?
This project demonstrates the integration of AWS Bedrock's Conversational AI capabilities with relational databases through the Model Context Protocol (MCP) Server architecture, enabling natural language interactions with databases in a query-only mode.
How to use the project?
To use this project, clone the repository from GitHub, set up your development environment, configure your AWS account and RDS PostgreSQL database, and run the application to query your database using natural language.
Key features of the project?
- Integration of RDS PostgreSQL and SQLite with AWS Bedrock's Foundational Models using MCP.
- Natural language querying of databases using Bedrock foundation models.
- Secure and efficient database operations through MCP Server.
- Adding Generative AI capabilities to existing applications.
Use cases of the project?
- Enabling conversational interfaces for database applications.
- Simplifying database queries for non-technical users.
- Enhancing existing applications with AI-driven insights.
FAQ from the project?
-
What databases are supported?
The sample focuses on RDS PostgreSQL and SQLite but can be adapted for other databases supporting MCP integration.
-
Is there a cost associated with using this project?
Yes, using AWS services like RDS and Bedrock may incur costs based on usage.
-
What are the prerequisites for using this project?
An AWS account, IAM permissions, access to Bedrock LLMs, and a local development environment with Python and necessary libraries.
