Anthropic’s Model Context Protocol (MCP) is an open standard designed to enable secure, two-way communication between tools and data sources. Its flexibility and efficiency make it a valuable resource ...
AI agents and agentic workflows are the current buzzwords among developers and technical decision makers. While they certainly deserve the community's and ecosystem's attention, there is less emphasis ...
As organizations push AI systems into production, IT teams are asking how to make models more dependable, secure and useful in real-world workflows. One approach gaining traction is the Model Context ...
The Model Context Protocol (MCP) is redefining how artificial intelligence (AI) interacts with external systems and data sources. Acting as a universal interface, MCP simplifies the process of ...
The Model Context Protocol (MCP) for agentic AI has gained much traction since being introduced by Anthropic last November, and now it has a C# SDK. The MCP is a standard for integrating large ...
What does it take to get OpenAI and Anthropic—two competitors in the AI assistant market—to get along? Despite a fundamental difference in direction that led Anthropic’s founders to quit OpenAI in ...
The past ten years have seen incredible advancements in the realm of Artificial Intelligence, but paradoxically, some of the most overt shortcomings of AI are still based not on intelligence but on ...
Claude’s Model Context Protocol promises a new way for AI to understand tools, data, and workflows. This test looks at how it behaves outside of theory. Real tasks expose strengths and limitations ...
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Grasshopper Bank launched a first-of-its-kind Model Context Protocol (MCP) server that will enable its business banking clients to get personalized financial analysis and insights through Claude, ...
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