MCP (Model Context Protocol)

Model Context Protocol (MCP) is an open standard developed by Anthropic that defines how large language models can interact with external tools, data sources, and services in a standardized way. Announced in 2024, MCP aims to be the "USB-C for AI integrations"—a universal connector that allows models to safely and consistently call external APIs, query databases, access file systems, and invoke specialized software, without requiring custom integration code for each tool-model pair.

Under traditional approaches, integrating a model with an external service requires building a bridge: you write code that translates the model's output into API calls and then surfaces the results back to the model. MCP inverts this logic by defining a standard protocol that services can implement, making them compatible with any MCP-aware model. The protocol specifies how models request resources, how services advertise their capabilities, and how context flows between the two. This reduces friction and enables rapid experimentation with new tool ecosystems. MCP clients (typically models or agent frameworks) connect to MCP servers (services exposing capabilities), and the protocol handles authentication, data serialization, and error handling.

MCP is significant because it accelerates the agentic AI ecosystem. As models become more capable of planning and reasoning, they need reliable, consistent access to external capabilities—databases, search, financial systems, software development tools. By standardizing the interface, MCP reduces the barrier to building and deploying agentic applications. It also supports the principle of composability: small, focused services can be mixed and matched rather than building monolithic integrations. For enterprises and platforms, MCP creates a marketplace dynamic where tool providers can target a single standard instead of dozens of model-specific APIs.