token consumption

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.

The proclaimed demand for AI might be inflated, with token consumption becoming a distorted metric. Anthropic is strategically pricing services based on actual usage, shifting from flat-rate to per-token billing to ensure revenue correlates with real value. This approach positions them to better navigate a potential market correction, contrasting with models potentially incentivizing inefficient consumption. Other companies are also exploring ways to measure genuine AI productivity beyond token counts.