MCP Server

Example Use Cases

• 1

  Discover and invoke AI tools via a standardized protocol.

• 2

  A modular and extensible server architecture to integrate new tools easily.

Description

This project implements a Model Context Protocol (MCP) server that enables AI models to discover and invoke various tools through a standardized protocol. It is designed to be modular, allowing each tool to be implemented as a separate Python module, facilitating easy extension and customization. The server is scalable and built using Python, making it accessible and adaptable for different AI applications.