What if your AI assistant could not only answer your questions but also fetch real-time data, automate tedious tasks, and perform complex calculations, all seamlessly and without breaking stride?

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, ...

Forbes contributors publish independent expert analyses and insights. Docker recently announced new tools that apply container technology principles to artificial intelligence development, addressing ...

Your TL;DR on MCP, the open standard that lets AI models connect to tools, remember context and run workflows across ...

Atlassian opened an AI agents beta in Jira, allowing teams to embed AI driven agents directly into planning and tracking workflows. The beta supports both Atlassian and third party agents, tying into ...

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 ...

Figma expanded its AI-powered prototyping tool Figma Make on Feb. 20, introducing custom Model Context Protocol (MCP) connector support alongside certified connectors for Amplitude, Box, Dovetail, ...

Claude’s Model Context Protocol promises a new way for AI to understand tools, data, and workflows. This test looks at how it behaves outside of theory. Real tasks expose strengths and limitations ...