Integrates web search capabilities into an MCP server using the Tavily API.
This project serves as a demonstration of a Model Context Protocol (MCP) server, specifically designed to incorporate web search functionalities using the Tavily API. Operating in standard input/output (stdio) transport mode, it provides a `web_search` tool that AI agents can utilize to efficiently retrieve information from the web, showcasing how external APIs can be seamlessly integrated into an MCP ecosystem for enhanced agent capabilities.