Cost Optimization

Okta’s Model Context Protocol (MCP) addresses the high cost of AI tool access by reducing token consumption. Instead of providing AI agents with a complete list of available tools, Okta filters tools based on user identity and permissions *before* they reach the AI model. This identity-scoped approach significantly minimizes unnecessary token usage, lowering operational expenses. The solution also enhances security by limiting an agent’s visibility to only authorized tools, reducing the potential attack surface.

AI spending is increasing as companies race to integrate AI. This has led to surging costs, with some reporting astronomical bills. In response, some companies are shifting to more cost-effective alternatives, while others are implementing spending caps. OpenAI and Anthropic, the leading AI model developers, are reportedly preparing for IPOs amidst growing demand for ROI and competition from giants like Microsoft, Amazon, and Google, who are developing their own more affordable AI models.