Solving the N x M Integration Problem in AI: How MCP Connects Any Model to Any Application

AI development faces the "N x M integration problem," where connecting numerous AI models to multiple external tools creates exponential complexity and cost. The Model Context Protocol (MCP) offers a solution by providing a universal, open-source standard that decouples models from tools, changing the problem from N x M to a more manageable N + M. However, as the number of tools grows, this creates a new "tool overload" issue that can overwhelm an LLM's context window and reduce accuracy. The Klavis AI Strata product addresses this by acting as a single, intelligent MCP server that uses a "Progressive Discovery" method to guide the AI, revealing only relevant tools and actions at each step to improve efficiency and performance.