MCP Gives Agents Tools. Hooks Give Security Control.

MCP and Hooks serve complementary roles in AI coding platforms: MCP standardizes how agents connect to external tools, repositories, APIs, and data sources, while Hooks provide platform-controlled moments to observe, modify, or block agent actions. Although an MCP security scanner can be available to an agent, its use remains optional because the model decides whether and when to invoke it; Hooks instead enforce checks independently of the model’s judgment. Grok Build’s Semgrep integration illustrates this approach by triggering code scans at defined points after agent changes, returning findings to the agent for remediation before work is completed. Hooks can also operate around MCP calls to inspect requests, monitor responses, and enforce organizational policies at tool boundaries. Together, MCP expands agent capabilities and Hooks establish reliable guardrails, enabling agents to access more systems without leaving critical security and compliance controls to prompts or model discretion.

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