Automation, reasoning engines, and data-driven agents are making AI systems more advanced. However, powerful models alone do not make intelligent behavior. Context management, on the other hand, is vital to how an AI system interprets its instructions, organizes information, and produces results. This is why Model Context Protocol Servers have become increasingly popular with Developers […]
TL;DR There are many MCP servers on the market, but only a few deliver strong practical value. We highlight seven across key categories, including Playwright MCP (browser automation), MCP360 (unified tool gateway), Stripe MCP (payments), Supabase MCP (database), and the Filesystem MCP server. Each expands the surface area an agent can access and act on. […]
Security teams spent years hardening APIs, locking down databases, and training employees on phishing. Then AI agents arrived and quietly connected to all of it. The attack surface didn’t just grow. It changed shape. A model that can read your email, query your CRM, and write to your file system is not just a productivity […]
Introduction With the evolution of large language models, communication between AI systems had become increasingly seamless. Organizations today use a variety of models, tools, databases and APIs to work in concert. But when there is no standard way to exchange structured information integration implementations are complex and fragile. And this is where the Model Context […]
Advancing to more autonomous artificial intelligence systems demands structured coordination. Contemporary AI agents are no longer confined to single-task or zero-shot prompts. Rather they stretch across workflows, applications and environments that requires context to be persisted. And this is where Model Context Protocol comes in. It serves as an organized framework in which agentic AI that cannot be present […]