Model Context Protocol (MCP)

The Model Context Protocol (MCP), introduced by Anthropic, is an open standard that defines how AI applications connect to external data sources and tools. It provides a universal interface layer that allows any AI model to interact with any compatible tool or data source without requiring custom integration code for each combination. Think of MCP as a USB-C port for AI: a single standard that works with everything.

MCP uses a client-server architecture where AI applications (MCP clients) connect to MCP servers that expose tools, resources, and prompts. An MCP server might provide access to a database, a file system, a SaaS API, or a local application. The protocol handles discovery (what tools are available?), invocation (call this tool with these parameters), and response handling (here are the results) through a standardized JSON-RPC interface. This means a single AI assistant can seamlessly use tools from different providers without knowing the implementation details.

The significance of MCP is that it solves the N-times-M integration problem where every AI model needs custom integration with every tool. With MCP, tool providers build one server and it works with every MCP-compatible AI client. This ecosystem approach is similar to how web APIs standardized how applications communicate over the internet. MCP is already supported by Claude, Cursor, and other AI development tools, with the ecosystem of available MCP servers growing rapidly.