Released late last year by AI firm Anthropic, model context protocol (MCP) is an open standard designed to standardize the way AI systems, particularly large language models (LLMs), integrate and ...

AI agents can answer all your questions, right? However, when it comes to triggering a workflow, calling an API or fetching live context from a system of record, everything comes to a halt. You might ...

Starting as an experimental side project at Anthropic, the Model Context Protocol (MCP) has become the de facto standard for orchestrating agentic interactions across datasets, computational resources ...

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 ...

What if your next project could be powered by a system of intelligent agents working together seamlessly, each specializing in a specific task? Imagine a platform where one agent retrieves critical ...

On Monday, a new Model Context Protocol security startup called Runlayer launched out of stealth with $11 million in seed funding from Khosla Ventures’ Keith Rabois and Felicis. It was created by ...

AI agents are being sold as the solution for planning trips, answering business questions, and solving problems of all kinds, but getting them to work with tools and data outside their chat interfaces ...

Python has been the language of data science since before machine learning was trendy, and now you can use it for building AI agents, too. Get the scoop on the new Google Agent Development Kit and ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...