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ghl_request

ghl_request

How to control ghl_request ↓

What ghl_request does on GoHighLevel MCP Server

AI agents invoke ghl_request to trigger actions in GoHighLevel MCP Server. 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.

High Risk

Why ghl_request needs a policy

The tool name 'ghl_request' suggests a generic request executor against the GoHighLevel API. With an empty description, the exact capability is unknown, but given the server context (CRM with write/delete capabilities implied by sibling tools), this could perform any API operation including destructive ones.

From the tool's definition Tool name 'ghl_request' with empty description; server manages CRM data including contacts, conversations, opportunities, calendars, and forms

Documented attack patterns abuse exactly the kind of access ghl_request gives an agent:

How to control ghl_request

PolicyLayer is an MCP gateway — it sits between your AI agents and GoHighLevel MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for ghl_request:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "ghl_request": {
      "limits": [
        {
          "counter": "ghl_request_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

ghl_request 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.

  1. Create a free account and register GoHighLevel MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Related tools and policies

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Questions about ghl_request

What does the ghl_request tool do? +

ghl_request. It is categorised as a Execute tool in the GoHighLevel MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on ghl_request? +

Register the GoHighLevel MCP Server MCP server in PolicyLayer and add a rule for ghl_request: 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 GoHighLevel MCP Server. Nothing to install.

What risk level is ghl_request? +

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

Can I rate-limit ghl_request? +

Yes. Add a rate_limit block to the ghl_request 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 ghl_request completely? +

Set action: deny in the PolicyLayer policy for ghl_request. 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 ghl_request? +

ghl_request is provided by the GoHighLevel MCP Server MCP server (basicmachines-co/open-ghl-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every GoHighLevel MCP Server tool call.

Start from GoHighLevel MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

64 GoHighLevel MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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