Anthropic’s Model Context Protocol (MCP) is an open standard designed to enable secure, two-way communication between tools and data sources. Its flexibility and efficiency make it a valuable resource ...

Learn how Model Context Protocol connects AI to external tools and data, how MCP servers work, business use cases, security ...

The updated protocol will simplify how enterprises deploy and scale MCP-based AI applications in the cloud, but developers relying on deprecated capabilities will need to plan for architectural ...

The Model Context Protocol, or MCP, is a new open standard that makes it easier for AI models to connect with external data, APIs and services. Released by Anthropic in late 2024, MCP was designed to ...

On November 25, 2024, large language model (LLM) provider Anthropic open-sourced its Model Context Protocol (MCP). MCP provides a standardized way to connect an AI model, like the Claude family of ...

The Model Context Protocol gives AI applications a standard way to discover and use tools, data, prompts, and other capabilities. This guide explains MCP's architecture, primitives, security ...

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, ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Modern architectures often use legacy ...

AI agents are now becoming central to marketing workflows. These agents are designed to handle manual, repetitive and time-consuming work, executing tasks inside systems like CRMs, analytics ...