What Is an MCP Server? Architecture, Use Cases, and How to Get Started
Blog post from Kong
The Model Context Protocol (MCP) server, introduced by Anthropic in November 2024, serves as a lightweight intermediary that links AI applications with external systems such as databases, APIs, and SaaS products through a standardized protocol. Unlike traditional methods requiring bespoke integration code for each connection, MCP servers provide a unified interface, enhancing the ability of AI-powered applications to interact with multiple external systems efficiently. MCP servers operate by exposing capabilities like tools, resources, and prompts to AI applications, allowing for capability negotiation and standardized invocation patterns. While the protocol itself defines the rules for interaction, the server implements these rules, similar to the relationship between HTTP and web servers. This system enables AI applications to connect with various external services using a consistent, self-describing interface, thereby minimizing maintenance burdens associated with custom integration code. However, deploying MCP servers at scale introduces challenges such as authentication management and observability, which can be addressed by implementing centralized governance solutions like the Kong AI Gateway. This setup facilitates seamless, secure, and scalable interactions between AI applications and their required external systems.