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2 min read Gohighlevel MCP

How to Use the HighLevel MCP Server (AI-Powered GoHighLevel Workflows)

Unlock AI-driven workflows inside GoHighLevel using the MCP Server. Learn to set up Private Integration Tokens, connect AI tools like Claude or Cursor, and automate CRM tasks securely via HTTP.

👉 Official Docs: Learn straight from the source: How to Use the HighLevel MCP Server

GoHighLevel now offers a built-in MCP (Model Context Protocol) Server, enabling AI agents to access and use data inside your GHL account—all via secure HTTP. This unlocks deep automation, richer chatbot workflows, and true AI-assisted CRM control.

Want built-in training? Try the GoHighLevel Bootcamp for step-by-step setup.

TL;DR

  • MCP Server connects AI assistants (like Claude or OpenAI agents) to GoHighLevel data
  • Setup uses Private Integration Tokens (PITs) and secure HTTP headers
  • Supports tools like contacts, conversations, calendars, pipelines, payments, workflows
  • Works with any HTTP-capable client—no SDK needed
  • Enables automating follow-ups, tagging, messaging, reporting and multi-tool orchestration

1. What Is the HighLevel MCP Server?

MCP stands for Model Context Protocol—an open standard that lets AI agents query and update your CRM using real-time context. GoHighLevel's hosted MCP server lets you:

  • Read and modify contacts, conversations, pipelines, calendar events, payments, and more
  • Trigger workflows or automations via natural language commands
  • Connect external tools (e.g. Slack, ClickUp, n8n) through unified AI orchestrations

2. Why Use the MCP Server?

  • Fast AI integration—no SDK or code required, just HTTP requests
  • Secure access via scoped PIT tokens only granting minimal permissions
  • Scalable design, built for future tool expansion up to 250+ functionalities
  • Compatible with clients like Cursor, Windsurf, Claude Desktop, OpenAI Playground

3. Step-by-Step Setup

a. Generate Your Private Integration Token (PIT)

  • In GoHighLevel go to Settings > Private Integrations
  • Create new integration, select required scopes (contacts, conversations, payments, etc.) and copy the token

Add the MCP server config:

{
  "mcpServers": {
    "ghl": {
      "url": "https://services.leadconnectorhq.com/mcp/",
      "headers": {
        "Authorization": "Bearer YOUR_PIT_TOKEN",
        "locationId": "YOUR_LOCATION_ID"
      }
    }
  }
}

c. Start Calling Tools

Use calls like:

  • contacts_get-contact
  • conversations_send-a-new-message
  • opportunities_update-opportunity
  • payments_list-transactions
  • locations_get-location
    … and more—all available tools are listed in the Help Center docs

4. Real-World Use Cases

Use Case Example Automation
Lead Follow-Up AI tags lead, sends SMS/email, updates pipeline
Smart Segmentation Tags contacts based on quiz or form input
Meeting Prep Agent fetches calendar, summaries and upcoming tasks
Notifications AI pushes lead alerts to Slack or Trello
Custom Agent Workflows Chain commands like “send text, update record, create task” across tools

5. Troubleshooting Guide

Common Issue Quick Fix
Invalid Token Ensure “Bearer ” has space; check token scopes
Missing Data Access Confirm correct scopes were selected
Response Errors Test simple commands first (e.g. “send text”)
Rate Limit Errors Use batching logic—GHL supports ~100 req/10s

6. What You Need to Get Started

  • GoHighLevel account with admin permissions
  • PIT (Private Integration Token) with tool access scopes
  • AI client supporting HTTP MCP (e.g. Claude, Cursor)
  • Location ID from your sub-account headers or setup prompts

7. Sample AI Workflow

  1. Agent pulls unread contacts
  2. Tags “New Lead” and sends follow-up SMS
  3. Updates pipeline stage
  4. Creates task for sales rep
  5. Sends alert to Slack automatically

All from one voice or text-based instruction.

8. Expanding Your AI Capabilities

To go further:

  • Join the GoHighLevel Bootcamp to follow advanced agent tutorials
  • Use SaaSPreneur to build AI workflows into a white-label SaaS offer