Tired of clunky AI hacks? MCP blows the doors off integration hell, finally giving devs a clean, scalable way to plug AI into ...

Black Duck's GitHub App enables static application security testing and software composition analysis scans in GitHub ...

With innovation comes risk. As organizations race to build AI-first infrastructure, security is struggling to keep pace. Multi-Agentic Systems – those built on Large Language Models (LLMs) and ...

Compositional risk from multiple MCP Servers highlighted by report Microsoft has declared general availability for MCP (model ...

MCP has quite the humble origin story. It aimed to solve a messy integration problem: previously, every AI or application ...

Coplay CEO Jos van der Westhuizen told Developer how AI copilots aid Unity, where they fall short, and how orchestration ...

MCP's vision of seamless, universal AI integration is compelling. But in business, compelling technology alone rarely determines success.

MCP (Model Context Protocol) standardizes AI-agent interactions with external tools, simplifying workflows, reducing manual configurations, and enhancing scalability and accuracy in automation.

MCP (Model Context Protocol) reduces manual effort in AI workflows by up to 90% through automation, streamlining processes, and enhancing operational efficiency.