MCP Gateway is a security governance layer that sits between AI agents and the tools they interact with. The product provides centralized control over which tools AI agents can access and use within an organization's infrastructure. The gateway enables administrators to define access controls that determine which large language models or agents can access specific tools. It supports granular permission management including role-based access controls, read/write operation restrictions, and privilege boundary enforcement. The system establishes trust boundaries to prevent unauthorized tool invocation and protect sensitive resources. MCP Gateway maintains full auditability by tracking which LLM accessed which tool, along with associated permissions and purposes. The product is designed for organizations deploying multiple AI agents that require access to numerous tools, providing centralized security governance to manage the expanding risk surface. The solution operates with sub-10ms latency on GPU and minimal overhead on CPU. It is compatible with the Model Context Protocol (MCP) standard and supports thousands of tools. The gateway integrates into agent-native architectures and multi-agent GenAI systems, providing policy control through a unified engine for RBAC, routing, and validation rules.