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This project offers a Proof of Concept (POC) implementation of a Model Context Protocol (MCP) server, designed in Python to empower AI assistants and other MCP clients with a rich set of tools and resources. Following a modular architecture, it cleanly separates client, transport, server core, tool implementations, and resource providers. This setup ensures extensibility and maintainability, allowing seamless integration with external services and robust handling of various requests, from listing available tools to executing complex operations and fetching structured resources.