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, ...

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 ...

As AI becomes central to GTM strategy, the challenge is no longer adoption but integration. Data remains locked inside walled gardens that limit visibility and slow progress. Efficiency has increased, ...

The Model Context Protocol just got its first official extension, and it changes what AI assistants can do. MCP Apps lets tools return interactive user interfaces—dashboards, forms, visualizations, ...

Anthropic’s model context protocol (MCP), the ‘plug-and-play bridge for LLMs and AI agents’ to connect with external tools, has received a major update one year after its launch. The developer of ...

AI innovation today is moving faster than ever before, with leaps and bounds being made in the field on what seems like a weekly basis. Further to innovation that is directly related to or produced by ...

As enterprises push AI into production, they're encountering a fundamental constraint: general-purpose models lack the real-time operational context that enterprise decisions require.

While the current AI boom was sparked by the launch of OpenAI’s ChatGPT in late 2022, it wasn’t until late 2024 that its true power could be recognized, when Anthropic unveiled the Model Context ...

OpenAI Agents Now Support Rival Anthropic’s Protocol, Making Data Access ‘Simpler, More Reliable’ Your email has been sent Anthropic’s Model Context Protocol is effectively a universal language that ...