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MCP (Model Context Protocol) is an emerging standard for AI tools and resources. The standard is compatible with normal REST API servers, but adds extra metadata to describe tools, resources, and ...

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 ...

Google Cloud has moved to industrialize the agentic web, launching fully managed Model Context Protocol (MCP) servers for its core services including Maps, BigQuery, and Google Kubernetes Engine (GKE) ...

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 ...

Posts from this topic will be added to your daily email digest and your homepage feed. is The Verge’s senior AI reporter. An AI beat reporter for more than five years, her work has also appeared 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 ...

Microsoft is previewing Foundry MCP Server, a fully cloud-hosted implementation of the Model Context Protocol (MCP) for Microsoft Foundry. MCP is a standard for letting AI agents connect to apps, data ...

Enterprise Linux company SUSE SE today announced a milestone in its mission to create an artificial intelligence-assisted computing infrastructure, where complexity is brushed aside in favor of simple ...

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, ...