ghl_deploy_agent

Deploy an agent from staging to production.

SERVERGoHighLevel MCP Server SOURCEbusybee3333/go-high-level-mcp-2026-complete

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/busybee3333-go-high-level-mcp-2026-complete/ghl-deploy-agent.md

WHAT IT DOES

What ghl_deploy_agent does on GoHighLevel MCP Server

AI agents invoke ghl_deploy_agent 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.

RISK

Why ghl_deploy_agent is rated High

Deploying an agent to production is an Execute action because it triggers external operations (deployment pipeline, infrastructure changes, activation of automated workflows) whose effects depend on the agent's configuration and are not easily reversible.

From the tool's definition Tool name 'ghl_deploy_agent' combined with description 'Deploy an agent from staging to production' indicates execution of a deployment operation that transitions code/automation from a test environment to a live production environment.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs ghl_deploy_agent safely

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

ghl_deploy_agent Rate-limited

ghl_deploy_agent 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": {
    "ghl_deploy_agent": {
      "limits": [
        {
          "counter": "ghl_deploy_agent_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 GoHighLevel MCP Server, apply this rule, and every ghl_deploy_agent call is checked against it from then on.

FAQ

Questions about ghl_deploy_agent

What does the ghl_deploy_agent tool do? +

Deploy an agent from staging to production. 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_deploy_agent? +

Register the GoHighLevel MCP Server MCP server in PolicyLayer and add a rule for ghl_deploy_agent: 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_deploy_agent? +

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

Can I rate-limit ghl_deploy_agent? +

Yes. Add a rate_limit block to the ghl_deploy_agent 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_deploy_agent completely? +

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

ghl_deploy_agent is provided by the GoHighLevel MCP Server MCP server (busybee3333/go-high-level-mcp-2026-complete). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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