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AI & Voice Agents

How to Configure HighLevel's MCP Server for AI Agents

GoHighLevel's MCP (Model Context Protocol) server lets external AI tools, voice agents, and chatbots read and write data directly inside your sub-account. To connect one, you generate a private integration API token in your sub-account settings, copy the MCP server URL from the help doc, and paste both into your AI platform of choice. The agent then has controlled access to contacts, calendars, conversations, and more.

अपडेट: 2 जून 2026

6:03

सारांश. This tutorial demonstrates how to connect an external AI agent to GoHighLevel using the platform's native MCP server. It covers navigating the available tools list in the help documentation, creating a private integration token with the right permission scopes inside a sub-account, and entering the server URL and token into an AI platform such as OpenAI's assistant builder. The result is an AI agent that can read, create, and update GoHighLevel data in real time.

आप क्या सीखेंगे

  • Understand what tools the GoHighLevel MCP server exposes, from contacts to opportunities to messages
  • Create a private integration token with the correct permission scopes
  • Find the MCP server URL from the GoHighLevel help documentation
  • Connect the server URL and token to an external AI platform
  • Confirm the connection is active and verify which sub-account data the agent can access

स्टेप

  1. Review the available tools in the help doc

    Open the GoHighLevel MCP Server help article. Scan the full list of tools to understand what data the agent will be able to access, including contacts, calendars, conversations, tags, pipelines, opportunities, and custom fields.

  2. Open your sub-account settings and create a private integration

    Inside your sub-account, scroll down to Settings and find Private Integrations at the bottom. Click Create New Integration, give it a name such as 'MCP Server', and click Next.

  3. Select the required permission scopes

    Check the scopes your agent needs. At minimum, select view and edit for contacts, conversations, conversation messages, opportunities, calendars and events, locations, payments, custom fields, and forms. Then click Create.

  4. Copy the API token

    After creation, an API token is shown once. Copy it immediately and store it somewhere safe. Do not share it with anyone you do not trust, as it grants access to your sub-account data.

  5. Add the MCP server to your AI platform

    In your AI platform (such as OpenAI's assistant builder), find the area for integrations or tools and add a new MCP server. Paste the server URL from the help doc and your API token in the authentication field, then connect.

  6. Verify the connection

    After connecting, your AI platform should display the list of tools that GoHighLevel has made available. Confirm they match the scopes you selected, then test with a simple query such as fetching a contact or checking a calendar slot.

टिप्स

  • Only grant the scopes your agent actually needs. Fewer permissions reduce the risk if a token is ever exposed.
  • If your platform uses a config file such as cursor's JSON setup, copy the server URL from the help doc code snippet directly.
  • Store the API token in a password manager right after creation since it is shown only once.

लोग जो सवाल पूछते हैं

Which AI platforms can connect to HighLevel's MCP server?

Any platform that supports MCP, including OpenAI assistants, Claude, and cursor-based tools.

Can the MCP agent send messages to contacts?

Yes, if you grant the conversations and conversation messages scopes when creating the token.

What happens if I lose the API token after creation?

You cannot retrieve it again. Delete the integration and create a new one to get a fresh token.

Does the MCP server work across multiple sub-accounts?

Each token is tied to a single sub-account. Create a separate integration token for each sub-account you want to connect.

Is the MCP server available on all GoHighLevel plans?

Check the GoHighLevel help documentation for the latest plan availability, as features can change.

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