The protocol offers a standardized framework that defines how AI systems securely connect with trusted, validated knowledge ...

The AI company Anthropic, which was founded in 2021 by former OpenAI employees, has developed the Model Context Protocol (MCP) with the aim of standardizing communication between Large Language Models ...

What if the way AI agents interact with tools and resources could be as seamless as browsing the web? Imagine a world where developers no longer wrestle with custom-built adapters or fragmented ...

The rise of the Model Context Protocol and composable architectures marks a move toward seamless, connected and ...

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), ...

Built on MCP streamable HTTP standards, the server delivers context-aware and JSON-encoded responses optimized for AI clients such as Copilots, AI chatbots, LLM-based IDEs and enterprise AI agents.

MCP has given us a powerful standard for connecting intelligent systems to enterprise data, but it has also introduced deep dependencies and new trust assumptions.