Model Context Protocol Server

The Model Context Protocol (MCP) is an open standard that defines how AI applications connect to external systems (databases, APIs, file stores, and business tools) in a consistent, secure way. An MCP server is a service that exposes a specific tool or data source through this protocol, so any MCP-compatible AI model or agent can call it without bespoke integration work. It helps to contrast MCP with a traditional Application Programming Interface: a conventional API is built for developers who write custom code against its specific endpoints, whereas an MCP server wraps capabilities (often the very same underlying APIs) in a standardized, self-describing interface that an AI model can discover and use on its own, in natural language, without a developer hand-coding each integration. In short, an API is how software talks to software; MCP is how an AI model talks to tools. In practice, MCP servers let an AI assistant query a live product catalog, read a CRM, search a knowledge base, or take actions in a connected app, extending the model beyond its training data. For brands, MCP matters because the data an AI can reach through these connections shapes the answers it gives: structured, well-maintained, MCP-accessible information is more likely to be surfaced accurately. As agents proliferate, MCP is becoming the plumbing that determines which real-time sources an AI consults.