Model Context Protocol (MCP): Understand Core Concepts of MCP
The Model Context Protocol (MCP) is an open standard that allows AI applications to connect seamlessly with external tools, data sources, and workflows. You can consider it as a USB-C port for AI that lets AI applications to plug into existing applications those uses Databases, Files, etc. Technically, MCP can be defined as a protocol that is developed to standardize a mechanism using which various AI models e.g. ChatGPT, Cloude, etc. interact with an external system. The purpose of MCP is to ensures that the AI can access real-time, contextually relevant data and perform tasks securely. Why does MCP Really Matters? An existing AI Systems do face following challenges: Fragmented APIs: Since each and every Application has its own style of integration e.g. REST, SOAP, GraphQL, RPC, there is no standard mechanism exist for the client application to interact with it. These results into a technical glitch where client need to implement several connectors to integr...