See Configuring Claude Desktop / Claude Code for examples. A comprehensive Microsoft SQL Server client implementing the Model Context Protocol (MCP). This server provides extensive SQL Server ...

Considering internal scripts for data masking? Here’s what the journey might look like. It’s hard to avoid the need to use production data in other contexts, but much like King Tantalus 1 we often ...

Want to mirror or transfer your artwork perfectly to the opposite side of your project? In this video, I’ll show you how to transfer a masked graphic using masking paper, a pounce wheel, and a pounce ...

“Masking” is part of life, especially for those with autism or A.D.H.D. But hiding your true self comes with a cost. Credit...Vanessa Saba Supported by By Christina Caron When Amara Brook was training ...

Google released a Model Context Protocol (MCP) server for Data Commons, exposing the project’s interconnected public datasets—census, health, climate, economics—through a standards-based interface ...

Google Releases Data Commons MCP Server to Supercharge AI Agents Your email has been sent What is MCP? From queries to reports in a single step Testing the server in the field Building trust into AI ...

Google is turning its vast public data trove into a goldmine for AI with the debut of the Data Commons Model Context Protocol (MCP) Server — enabling developers, data scientists, and AI agents to ...

MCP Server enables AI agents to handle a full range of data-driven queries of Data Commons data sources, from initial discovery to generative reports, Google said. Looking to make public data access ...

Personal Data Servers are the persistent data stores of the Bluesky network. It houses a user's data, stores credentials, and if a user is kicked off the Bluesky network the Personal Data Server admin ...

The Department of Government Efficiency put the personal data of millions of Americans, including Social Security numbers, on a vulnerable server in June, according to a new whistleblower complaint.

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...