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 ...

Morey Haber, Chief Security Advisor at BeyondTrust, is an identity and technical evangelist with over 25 years of IT industry experience. Recently, I was reminiscing with a colleague about unique ...

Welcome to The Protocol, CoinDesk's weekly wrap of the most important stories in cryptocurrency tech development. I’m Margaux Nijkerk, a reporter at CoinDesk. OLAS UNVEILS FIRST AI AGENT APP STORE: ...

This SEP proposes an interceptor framework for the Model Context Protocol (MCP) that enables intercepting, validating, and transforming messages at various extension points within the protocol ...

This repository is a collection of reference implementations for the Model Context Protocol (MCP), as well as references to community-built servers and additional resources. The servers in this ...

Rembrand, an AI content-creation platform focused on in-scene media for video and television, plans to test a model context protocol (MCP) server that will interact with AI agents to generate ads. The ...

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 ...

Even the best AI models are challenged to carry out tasks via MCP. New benchmarks show models struggle when tasks become more complex. More training of AI models is required that's specific to MCP use ...

The iPhone could soon gain support for the Model Context Protocol, a move that could make third-party AI tools more useful on Apple products than ever before. In a nutshell, MCP makes it possible for ...

BOSTON--(BUSINESS WIRE)--Dynatrace (NYSE: DT), the leading AI-powered observability platform, today announced its participation in the launch of the GitHub MCP Registry, a curated directory designed ...

Imagine a world where your favorite tools and platforms work together seamlessly, powered by the intelligence of large language models (LLMs). No more clunky integrations, endless API documentation, ...