Provides sample Python servers for extending AI assistant capabilities via the Model Context Protocol.
Sponsored
This project offers a suite of Python-based sample servers designed to extend the functionalities of AI assistants like Amazon Q, leveraging the Model Context Protocol (MCP). Built with the FastMCP framework, these servers demonstrate how to integrate custom capabilities, including basic arithmetic operations, Amazon S3 and RDS management, and PostgreSQL database interactions, empowering AI assistants with enhanced real-world utility and direct access to various services.
Key Features
01Includes a Calculator Server for basic arithmetic operations
02Provides integration with Amazon RDS instances for management
03Enables management of Amazon S3 buckets and objects
04Demonstrates FastMCP framework for easy server development
05Offers connectivity to PostgreSQL databases for queries and schema info
060 GitHub stars
Use Cases
01Developing custom capabilities and extensions for Amazon Q
02Learning Model Context Protocol (MCP) server implementation in Python
03Integrating AI assistants with cloud services and external databases
