Essentially make an MCP connection between the UDFs and the data agents so that we can execute custom analysis with a high dimensional input space on the fly through an AI chatbot.
Doing this on our own currently would require that we spin up our own MCP server and handle all of the oauth and everything ourselves with an app registration. That is a lot of complication for what should be a highly intuitive feature.
Of course, this would enable writeback through the AI chatbot, so you'll probably want to put in some sort of mcp decorator in the udf that flags when writeback happens through a given path so that the chatbot can recognize this and promp the user with a y/n to write the results to a given db/table.
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Increase the 1,000 Item Limit per Fabric Workspace
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Add a Git-tracked “resources” folder to Lakehouses