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 ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Microsoft Corp. believes we’re headed toward a future where artificial intelligence-powered agents will become pervasive in enterprise computing environments, so today it’s making it easier for those ...

The Model Context Protocol (MCP) is redefining how artificial intelligence (AI) systems interact with external tools and services. By addressing the inherent limitations of large language models (LLMs ...

The Model Context Protocol (MCP) is an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools. The architecture is straightforward: ...

Lendscape, a global provider of commercial finance technology, launched the Lendscape Model Context Protocol (MCP) Server for equipment finance. The ...

Update to the MCP SDK for C# brings an improved authentication protocol, elicitation support, structured tool output, and support for resource links in tool responses. Microsoft announced that the MCP ...

Model Context Protocol (MCP) hasn’t made it into many boardroom conversations yet. That’s exactly the problem. While most ...

What if your AI assistant could not only answer your questions but also fetch real-time data, automate tedious tasks, and perform complex calculations, all seamlessly and without breaking stride?

Developers are discovering that Model Context Protocol shines at providing AI coding agents with highly relevant software engineering context, on demand, at run time.

Coevera is challenging conventional CRM thinking with an open-source MCP strategy focused on interoperability, flexibility, ...