AI Agents can autonomously think, plan and execute with minimal human supervision. AI Agents have shown promising results in improving productivity which is why enterprises are eager to adopt AI agents. AI Agents are designed to handle complex tasks using the underlying model’s reasoning capabilities which are context sensitive and probabilistic. This means sometimes, they can exhibit non-determi… more

As organizations adopt AI agents, the number of Model Context Protocol (MCP) servers inside the enterprise is growing rapidly. Teams are deploying MCP servers for GitHub, Jira, Kubernetes, observability platforms, internal APIs and business systems. While MCP standardizes tool integration, operating dozens of MCP servers introduces new challenges around authentication, authorization, discoverabil… more