MCP solves the complex N×M integration problem by reducing the number of custom connections needed between AI models and external tools from N times M to N plus M.

Before MCP, each AI model had to build unique adapters for every external tool, creating a multiplication of integration points that quickly became unmanageable. MCP standardizes the interface so any AI client can interact with any MCP-compatible server, dramatically simplifying development and maintenance and enabling faster innovation.