ai_hook

SERVERJshookmcp SOURCE@jshookmcp/jshook

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-vmoranv-jshookmcp/ai-hook.md

WHAT IT DOES

What ai_hook does on Jshookmcp

AI agents invoke ai_hook to trigger actions in Jshookmcp. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

RISK

Why ai_hook is rated High

Injects arbitrary code into pages and manages hooks with irreversible execution effects.

From the tool's definition inject code into page, toggle, clear, export hook data

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs ai_hook safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Jshookmcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For ai_hook, this is the rule to start with:

ai_hook Rate-limited

ai_hook stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "ai_hook": {
      "limits": [
        {
          "counter": "ai_hook_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Jshookmcp, apply this rule, and every ai_hook call is checked against it from then on.

FAQ

Questions about ai_hook

What does the ai_hook tool do? +

Manage AI hooks. Actions: inject (inject code into page), get_data (retrieve captured hook data), list (all active hooks), clear (remove hook data by id or all), toggle (enable/disable a hook), export (export data as JSON/CSV). It is categorised as a Execute tool in the Jshookmcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on ai_hook? +

Register the Jshook MCP server in PolicyLayer and add a rule for ai_hook: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Jshookmcp. Nothing to install.

What risk level is ai_hook? +

ai_hook is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit ai_hook? +

Yes. Add a rate_limit block to the ai_hook rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block ai_hook completely? +

Set action: deny in the PolicyLayer policy for ai_hook. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides ai_hook? +

ai_hook is provided by the Jshook MCP server (@jshookmcp/jshook). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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