Provides a Model Context Protocol (MCP) server for managing organizational content, enabling listing, searching, deleting, and uploading files and URLs via a content service API.
The RAG (Retrieval-Augmented Generation) server offers a robust Python implementation of the Model Context Protocol (MCP), designed to facilitate comprehensive management of an organization's digital content. It acts as an intermediary, exposing a suite of powerful tools that interact with an underlying content service API. Users can leverage this server to programmatically list available content, perform semantic searches across the organization's database, delete specific entries, and upload new content in the form of files or URLs. This enables seamless integration with RAG applications, enhancing their ability to retrieve and augment generations with up-to-date and relevant organizational knowledge.