MCP Gateway vs Stacklok Enterprise MCP Platform: Side-by-Side Comparison (2026)

MCP Gateway

Mid-market and enterprise security teams deploying AI agents need MCP Gateway to enforce access control before agents touch your tools and data, not after they've already made the call. The sub-10ms latency on GPU means you're not choosing between security and agent responsiveness, and the full audit trail covers your liability when auditors ask what that agent actually did. Skip this if your agents are still in isolated sandbox environments or if you're not yet running agents in production; the value sits entirely in controlling access across live, production agent deployments.

Stacklok Enterprise MCP Platform

Enterprise security teams deploying AI agents to interact with internal systems need governance that actually stops prompt injection and unauthorized tool access, not just visibility after the fact; Stacklok Enterprise MCP Platform enforces least-privilege access at the agent-to-system boundary through centralized policy controls, addressing the PR.AA and GV.SC gaps most platforms ignore. The platform logs every AI tool call and mediates MCP server connections, giving you audit trails that satisfy compliance while blocking risky agent behaviors before they execute. Skip this if your AI tooling is still experimental or siloed by department; Stacklok assumes you have multiple agents in production and need governance at scale.