Traditionally, AI development was exclusive, reserved for big firms with hefty budgets. Goose challenges this status quo.

Anthropic’s innovative Model Context Protocol (MCP) aims to tackle fragmented data and boost the efficiency of AI-powered solutions. Could it become the standard for context-aware AI integration? One ...

AI Agent Builder simplifies the creation of AI agents and agentic workflows for API development and testing. Here’s how it ...

New AI models will require advanced XR & spatial tech. The U.S. can lead in AI-driven computing with AI and AR hardware by ...

AI Agent is an autonomous intelligent system ... Developers can implement these augmentations through the recently released Model Context Protocol of Anthropic. Anthropic also explained the ...

AI models, and the systems they interact with. Goose is designed to work with Anthropic’s open-source Model Context Protocol (MCP) — a standardized suite of APIs that facilitate connections to ...

Cline can even use the Model Context Protocol (MCP) to create new tools and extend his own capabilities. While autonomous AI scripts traditionally run in sandboxed environments, this extension ...