The 6 Best MCP Gateways for Enterprise AI Security in 2026

Agents are evolving from simply interacting with models to actively executing tasks through the Model Context Protocol (MCP), which connects AI clients with various tools. This shift necessitates rigorous security measures, as each tool call becomes a potential security concern and requires detailed auditing. The MCP gateway emerges as a critical control layer, managing access, identity, and audit logging for agents interfacing with MCP servers. The document evaluates six MCP gateways, highlighting NeuralTrust TrustGate's unique capability of built-in runtime security that inspects the content of tool calls and reasons across entire sessions. Other gateways like Arcade, Composio, Merge, Runlayer, and TrueFoundry emphasize access governance and connectivity, catering to different enterprise needs such as rapid tool deployment, developer authorization, and Kubernetes-native environments. The primary decision when choosing an MCP gateway should focus on the necessity of runtime content security versus the breadth of managed connectors, as runtime security can prevent data leakage and abuse patterns that mere access control cannot catch.

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