Connects Large Language Models (LLMs) to live RSS feed data by exposing it as relational SQL models through a Model Context Protocol (MCP) interface.
This tool enables seamless interaction between AI clients, such as Claude Desktop, and live RSS data. It leverages CData JDBC Drivers to represent RSS feeds as standard SQL tables, allowing LLMs to query and retrieve information using natural language questions, eliminating the need for complex SQL queries. The server acts as a bridge, translating natural language requests into SQL queries against the underlying RSS data via the MCP interface, making real-time data accessible to AI agents.