Know how this new standard connects AI to data context, reducing hallucinations and enabling smarter decision-making.

What if the next generation of AI systems could not only understand context but also act on it in real time? Imagine a world where large language models (LLMs) seamlessly interact with external tools, ...

Learn how this new standard connects AI to your data, enhances Web3 decision-making, and enables modular AI systems.

For the end user, this update is seamless: Claude Code simply feels "smarter" and retains more memory of the conversation.

AI is quickly becoming a core capability in enterprise software, but most developers know that integrating it remains painful. Despite the hype around generative AI and large language models (LLMs), ...

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 ...

Imagine a world where your AI tools don’t just work for you but work with each other—seamlessly, intelligently, and without the frustration of endless custom integrations. This isn’t a distant dream; ...

Ashay Satav is a Product leader at eBay, specializing in products in AI, APIs and platform space across Fintech, SaaS and e-commerce. Model context protocol (MCP) has been the talk of the town lately, ...

When Anthropic open-sourced the Model Context Protocol (MCP) in late 2024, it promised to solve one of the most persistent integration challenges in artificial intelligence. Before then, connecting ...

Chances are, unless you're already deep into AI programming, you've never heard of Model Context Protocol (MCP). But, trust me, you will. MCP is rapidly emerging as a foundational standard for the ...