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 ...
Anthropic’s model context protocol (MCP), the ‘plug-and-play bridge for LLMs and AI agents’ to connect with external tools, has received a major update one year after its launch. The developer of ...
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 ...
Microsoft Corp. today showcased its vision for the “agentic enterprise,” positioning the Windows operating system at the center of new, artificial intelligence agent-led intelligent workflows. At its ...
On Monday, a new Model Context Protocol security startup called Runlayer launched out of stealth with $11 million in seed funding from Khosla Ventures’ Keith Rabois and Felicis. It was created by ...
This prevents CI failures by automatically running ruff, black, mypy, and pytest before allowing commits. Run python scripts/configure_mcp_clients.py to detect existing VS Code/Claude MCP entries, ...
Microsoft announced the stable release of Azure MCP Server 1.0.0, describing it as the start of a new phase for cloud automation and AI-driven development. The open-source implementation of the Model ...
Model context protocol (MCP) gives IT teams a standardized way to connect large language models (LLMs) to tools and data sources when developing AI-based workflows. But security researchers warn that ...
What if coding felt less like troubleshooting and more like orchestrating a symphony? With Google’s latest innovation, the Chrome DevTools MCP, that vision is closer to reality than ever. This new ...
What happens when innovative AI agents meet the challenge of connecting to real-world tools and data? The answer lies in the protocols that bridge the gap between static training models and dynamic, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback