Previously, developers had to build custom connectors for each API or data source, a task that was time-consuming and fragile. With MCP, AI clients such as Gemini CLI, AI Studio or other agent ...

AI agents are being sold as the solution for planning trips, answering business questions, and solving problems of all kinds, but getting them to work with tools and data outside their chat interfaces ...

Look at Oracle if you want to assess the sustainability of the AI investment boom: Its credit default swaps are emerging as a way to 'hedge the entire debt cycle within AI' For a few brief weeks in ...

Today’s AI coding agents are impressive. They can generate complex multi-line blocks of code, refactor according to internal style, explain their reasoning in plain English, and more. However, AI ...

Oracle has found itself in the line of fire as investors sound the alarm over its massive borrowing—and as broader concerns about artificial-intelligence spending rock the market.

As agentic AI becomes more embedded in our digital lives, businesses are racing to deploy Model Context Protocol (MCP) servers. MCP infrastructure is the control layer of agentic AI. It stores ...

When the entire market takes a hit, like it has this month, stocks with solid fundamentals inevitably get caught in the selloff. Finding those opportunities is a strategy to snag shares at a discount.

The Model Context Protocol (MCP) enables AI agents to interact with external tools across hybrid environments but introduces critical security vulnerabilities, including identity theft, data leakage, ...

As MCP servers become more popular, so do the risks. To address some of the risks many vendors have started to offer products meant to secure the use of MCP servers. Model Context Protocol allows AI ...

You can give local AI models web access using free Model Context Protocol (MCP) servers—no corporate APIs, no data leaks, no fees. Setup is simple: Install LM ...