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HighLevel MCP: How to Connect Claude and ChatGPT to Your GoHighLevel CRM
HighLevel MCP: How to Connect Claude and ChatGPT to Your GoHighLevel CRM
Imagine asking an AI assistant, "Which new leads from this week haven't been contacted yet?" and getting a real answer from your CRM, followed by draft follow-up messages. That is what the HighLevel MCP server makes possible. MCP, the Model Context Protocol, is an open standard that lets AI assistants such as Claude and ChatGPT use tools and data from other software. HighLevel's MCP server exposes CRM actions so an AI assistant can work with your contacts, conversations, calendars and pipelines.
What MCP is, in plain English
Think of MCP as a universal adapter. Instead of every AI tool needing a custom integration for every app, an app publishes an MCP server describing the actions it supports, such as "search contacts" or "create opportunity". Any MCP-compatible assistant can then connect, ask for permission and use those actions when you ask it to.
What you can do with HighLevel MCP
Task | Example request |
|---|---|
Find contacts | "Show me leads tagged 'roof quote' created in the last 7 days" |
Review conversations | "Summarise my unread conversations and flag anything urgent" |
Check calendars | "What appointments do I have tomorrow?" |
Manage pipelines | "Which opportunities in Proposal Sent have been idle for 10 days?" |
Update records | "Add the tag 'hot lead' to Sarah Kim and move her to Negotiation" |
Draft messages | "Draft a follow-up text for each of those leads" |
The exact list of tools depends on HighLevel's current MCP server and the permissions you grant. Not every platform feature is available; for example, building workflows through the API has been a long-standing feature request.
How to connect
The setup follows HighLevel's MCP documentation, which you should check for current details. In general:
Create a Private Integration in the sub-account and select only the scopes you need, such as contacts read or calendars read.
Copy the token and keep it secret; treat it like a password.
Add the HighLevel MCP server to your AI client, such as Claude, ChatGPT or a coding tool that supports MCP, using the server URL and token from HighLevel's documentation.
Test with read-only requests before granting write permissions.
Security rules to follow
Least privilege: grant only the scopes a use case needs. Start read-only.
One sub-account at a time: connect a test sub-account before a client's live account.
Human approval for changes: configure your AI client to ask before running actions that send messages or change records.
Never share tokens in chats, documents or code repositories, and rotate them if exposed.
Mind client data: check your data processing agreements before connecting AI tools to client CRMs, especially in healthcare or finance.
MCP vs automation platforms
HighLevel MCP | n8n, Make or Zapier | |
|---|---|---|
How it runs | When you ask an AI assistant | Automatically on triggers or schedules |
Best for | Ad-hoc questions, analysis, drafting, one-off updates | Repeatable, always-on processes |
Control | Conversational, with approvals | Fixed logic you design |
Most businesses use both: automations for the processes that must happen every time, and MCP for the questions and tasks that change daily. See building an AI agent with n8n and GoHighLevel.
Practical starting use cases
A daily morning briefing of new leads, overdue tasks and today's appointments
Weekly pipeline reviews with stalled deals and suggested next steps
Cleaning up tags and duplicate contacts with your approval
Drafting personalised follow-ups that a team member reviews and sends
Frequently asked questions
Is HighLevel MCP official? Yes, HighLevel provides its own MCP server. Third-party MCP servers also exist; review their security before connecting.
Can AI send texts to my customers through MCP? If you grant messaging permissions, yes. Require approval before any message is sent and follow A2P and consent rules.
Do I need to be a developer? No, but someone should understand scopes and tokens to set it up securely.
Can MCP build workflows for me? Workflow creation through the API is limited; MCP is better for data and actions than for building automations.
Bring AI into your CRM, safely
Calari Solutions connects GoHighLevel to Claude, ChatGPT and AI agents with scoped access, approval steps and tested use cases. Schedule a free audit call to get started.