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CData RSS

CDataSoftwarebyCDataSoftware
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Database Management
API Development
Data Science & ML

Connects Large Language Models (LLMs) to live RSS feed data by exposing it as relational SQL models through a Model Context Protocol (MCP) interface.

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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.

Key Features

01Supports read-only access to RSS data (read/write available in beta server)
020 GitHub stars
03Exposes RSS data as relational SQL models
04Translates natural language questions into SQL queries for data retrieval
05Provides a simple Model Context Protocol (MCP) interface for LLMs
06Integrates with CData JDBC Driver for RSS

Use Cases

01Enabling natural language querying of RSS feed content by AI clients
02Allowing LLMs like Claude Desktop to query live RSS data
03Scripting JSON-RPC requests to retrieve RSS data programmatically