Okta Cuts AI Agent Token Costs with MCP Scoping

It's a technique that lets enterprises define MCP tool lists per AI agent, reducing the data sent in each model call and lowering token costs.

By limiting the number of exposed tools per call, it reduces prompt size, which directly lowers token consumption and associated costs.

Yes, especially for banks, telecoms, and governments adopting AI agents, as it cuts costs and enhances security aligned with local compliance.

Traditional methods expose all tools to every agent, while MCP Scoping limits tools based on agent identity and task context, reducing waste and improving security.