Google’s Chrome team previews WebMCP, a proposed web standard that lets websites expose structured tools for AI agents instead of relying on screen scraping.

The hyperscalers were quick to support AI agents and the Model Context Protocol. Use these official MCP servers from the major cloud providers to automate your cloud operations.

Master projectile motion simulations using Python functions! 🐍⚡ This tutorial walks you through coding techniques to model trajectories, calculate distances, and visualize motion in real time.

Instead of each AI integration being custom-coded for every app, MCP provides a shared standard, so MCP-compliant systems can ...

Manufact Inc., formerly mcp-use, an infrastructure platform developing the next generation of artificial intelligence agents built on Model Context Protocol, today announced it raised $6.3 million in ...

W3C proposal backed by Google and Microsoft allows developers to expose client-side JavaScript tools to AI agents, enabling ...

Until recently, the idea that a shopper could describe what they wanted in plain language, get curated options, and complete ...

People.ai's SalesAI Platform now brings in structured and unstructured interaction data through MCP integration.

The ability to connect to both cloud and on-premises versions of Azure DevOps is a significant advantage. It means the server can be a consistent part of your AI-DevOps workflow, regardless of where ...