Engineering AI Agents with Model Context Protocol (MCP)
Agentic AI is moving beyond text generation with the Model Context Protocol (MCP), enabling secure integration with enterprise systems, data, and APIs.
Articles by Saqib Jan
How Model Context Protocol (MCP) is Spurring AI Development
Model Context Protocol (MCP) bridges AI models with real enterprise systems, solving the specification gap and enabling secure, scalable AI adoption.
AI Leaders are Driving Real Business Value with MCP
The Model Context Protocol (MCP) is becoming the “USB port of AI,” bridging language models with enterprise systems. From LambdaTest to HubSpot and Confluent, leaders are proving MCP can boost developer productivity, democratize data, and unlock a new economy of AI services.
From MLOps to LLMOps—And Hardware Headaches Ahead
Organizations will require specialized infrastructure in order to effectively productionize any machine learning project at scale.
