Introducing ToolIQ: The Context Layer Needed to Scale AI Across the Enterprise

ToolIQ by Barndoor addresses the challenges of scaling Model Context Protocol (MCP) systems for enterprise AI deployments, which often face performance issues and unpredictable costs when connecting more than a few servers. Traditional AI implementations struggle with context window exhaustion, leading to increased costs, degraded performance, and reduced accuracy as they attempt to process excessive amounts of information across multiple systems. ToolIQ reduces AI processing costs by 95% and enables organizations to scale from 2 to over 100 MCP servers without performance degradation, facilitating seamless AI integration across various business systems like CRM, communication platforms, and document repositories. This solution allows for rapid deployment with minimal operational overhead, transforming limited AI pilots into full-scale enterprise deployments, thereby delivering consistent, reliable, and cost-effective AI performance across complex tech stacks.