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

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 ...

Making inherently probabilistic and isolated large language models (LLMs) work in a context-aware, deterministic way to take real-world decisions and actions has proven to be a hard problem. As we ...

What are Context Providers in the Model Context Protocol? Learn how MCP Servers supply real-time data, identity, and ...

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 ...

Artificial intelligence startup Anthropic PBC today released a toolkit for connecting large language models to external systems. The Model Context Protocol, or MCP for short, is available under an ...

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 ...

Enter the Model Context Protocol. In November 2024, Anthropic released this open-source framework designed to provide a ...