Enter the Model Context Protocol (MCP), an open source standard introduced by Anthropic that’s quickly gaining momentum in the AI world. Backed by major players like OpenAI and Google, MCP is designed ...

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, ...

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 agents and agentic workflows are the current buzzwords among developers and technical decision makers. While they certainly deserve the community's and ecosystem's attention, there is less emphasis ...

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: ...

One decision many enterprises have to make when implementing AI use cases revolves around connecting their data sources to the models they’re using. Different frameworks like LangChain exist to ...

Managed Authorisation extension to stable status, adding a centralised way for organisations to control access to MCP servers ...

X has launched a hosted MCP server, making it easier for developers to connect AI applications with the company’s API.

Anthropic today released a new open source protocol to let all AI systems, not just its own, connect with data sources via a standard interface. Model Context Protocol (MCP), the company said in its ...

The next generation of the Model Context Protocol (MCP) enables enterprise-scale AI deployments but shifts critical security ...

My coding agent had 172 tools and got worse at coding ...

CVE-2026-12957 in Amazon Q is the third MCP auto-execution vulnerability in three AI coding tools. The pattern reveals a ...