Add a contact to a GoHighLevel workflow, triggering it immediately. Args: - contactId (string, required): The GHL contact ID - workflowId (string, required): The GHL workflow ID (from ghl_list_workflows) Use ghl_list_workflows first to find the workflowId by name. Returns: Confirmation that the w...
AI agents invoke ghl_trigger_workflow to trigger actions in GHL 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.
This tool executes a pre-defined but externally-configured workflow whose side effects are not fully transparent to the caller. An AI agent could inadvertently trigger unintended business consequences (mass communications, data exports, integrations with third-party systems, etc.) if it selects the wrong workflowId or contacts.
From the tool's definition Tool description states it will 'Add a contact to a GoHighLevel workflow, triggering it immediately.' The word 'trigger' indicates execution of an external automated process.
Attacks that exploit this kind of access
Add a contact to a GoHighLevel workflow, triggering it immediately. Args: - contactId (string, required): The GHL contact ID - workflowId (string, required): The GHL workflow ID (from ghl_list_workflows) Use ghl_list_workflows first to find the workflowId by name. Returns: Confirmation that the workflow was triggered. Example:. It is categorised as a Execute tool in the GHL MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the GHL MCP Server MCP server in PolicyLayer and add a rule for ghl_trigger_workflow: 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 GHL MCP Server. Nothing to install.
ghl_trigger_workflow is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the ghl_trigger_workflow 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.
Set action: deny in the PolicyLayer policy for ghl_trigger_workflow. 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.
ghl_trigger_workflow is provided by the GHL MCP Server MCP server (mnewby20305/nppw-ghl-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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