Taming AI Agent Sprawl with MCP Gateways

AI agents can inadvertently trigger repetitive, high-cost tool calls during planning loops, creating significant financial risks in production. Utilizing an MCP gateway like Cordon provides a critical governance layer that audits and restricts tool usage, ensuring that agents remain both functional and cost-effective. This approach marks a shift toward more controlled and observable AI automation within the Model Context Protocol ecosystem.