Hello everyone. This is Tuana from Llama Index and in this video I'm going to quickly walk you through how you can use Llama Cloud nodes in NAT workflows. These are open-source nodes that we've just created and it brings Llama Extract P and Llama Cloud indexes to NAN workflows.In this video, we're going to be looking at a very simple example. As you can see, I've already run this workflow. And what it does is once there is a change in a specific folder, specifically in my case the invoices folder on my mach ...

Llama Cloud MCP Server Overview - Llama Cloud offers an open-sourced MCP server in Python, enabling the use of Llama Cloud indexes and extraction agents as tools within any MCP client [1] - The MCP server allows users to integrate Llama Cloud's indexing and extraction capabilities into various applications [1] Key Components and Configuration - The system utilizes indexes such as a Google Drive index connected to Llama Index workflows and a filings index containing SEC filings [2] - Extraction agents, including an invoice extractor and a CV extractor, can be added and utilized as MCP tools [3][8][9] - Configuration involves defining indexes with names and descriptions, which are crucial for the LLM to determine the appropriate MCP tool to use [4] - A file system tool is used, granting access to specific folders on the user's machine, enabling interaction with local files [5] Functionality and Use Cases - The system can be used to extract information from files, such as identifying the invoiced party from an invoice [7][8] - The platform supports complex tasks involving multiple extractions, such as extracting information from both an invoice and a CV [11] - Users can add multiple extraction agents and indexes to the MCP server [14] Future Enhancements - Future development could include the ability to write new files and data into existing indexes using the file systems tool [15]