Model Context Protocol (MCP): Essential Infrastructure for Your Agentic AI Strategy

Description

The best summary of Model Context Protocol (MCP) you'll find in less than 30 minutes! We know LLMs excel at 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻, 𝗰𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻, 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻, 𝗿𝗼𝗹𝗲-𝗽𝗹𝗮𝘆𝗶𝗻𝗴, 𝗶𝗻𝘁𝗲𝗿𝗽𝗿𝗲𝘁𝗮𝘁𝗶𝗼𝗻, 𝗮𝗻𝗱 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗺𝗮𝗸𝗶𝗻𝗴- but to truly unlock these capabilities, we need a systematic and secure way to expose valuable data to our LLM applications. Having a door on a house doesn’t make it insecure- it makes it 𝙪𝙨𝙚𝙛𝙪𝙡. There’s a big difference between a screen door and a fire door; between one left unlocked and one watched by guards. Model Context Protocol (MCP), implemented correctly, can be the latter: not only safe, but a framework that adds layers of security, provenance, and trust specific to LLM use cases. As AI Agents proliferate, so too will the threats that target them. If we are to step into the Decade of AI Agents, we must embrace agentic possibility and safety with equal enthusiasm.