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Gohighlevel MCP

The GoHighLevel MCP server is a fundamental project aiming to connect the GoHighLevel community with AI automation through the Model Context Protocol (MCP). It provides access to all sub - account level GoHighLevel API endpoints, supports 269 tools, covering multiple functional categories such as contact management, messaging, sales pipelines, and calendar appointments. The project emphasizes community collaboration, an open architecture, and educational resources, while also reminding users to pay attention to key issues such as AI security, rate limits, and data security.
2.5 points
1

What is the GoHighLevel MCP Server?

The GoHighLevel MCP server serves as a bridge between the GoHighLevel CRM system and AI models (such as Claude Desktop). Through the Model Context Protocol (MCP), AI can access and manage data such as customers, conversations, and sales opportunities in GoHighLevel accounts, enabling automated workflows.

How to Use the GoHighLevel MCP Server?

Connect your GoHighLevel account to the MCP server by configuring the API key and location ID. Then, AI models (such as Claude Desktop) can call various tools via the MCP protocol to manage CRM data, such as sending messages, creating sales opportunities, or scheduling meetings.

Use Cases

Suitable for businesses and individuals who need to automate CRM operations, such as: - Automatically send marketing messages - Manage customer contacts - Follow up on sales opportunities - Schedule meetings and appointments - Analyze business data

Key Features

Comprehensive CRM IntegrationSupports all sub - account level API endpoints in GoHighLevel, including contacts, conversations, sales opportunities, calendars, etc.
AI AutomationThrough the MCP protocol, AI can perform various CRM tasks, such as sending messages, creating sales opportunities, scheduling meetings, etc.
Flexible DeploymentSupports multiple deployment methods such as Vercel, Railway, Render, and Docker, suitable for different user needs.
Rich ToolsetProvides over 269 tools covering multiple areas such as customer management, sales, marketing, and product management.
Community - Driven DevelopmentAn open - source project that encourages community contributions and improvements to ensure continuous development.

Advantages and Limitations

Advantages
Supports multiple deployment methods, easy to integrate into existing systems
Provides a rich toolset to meet diverse CRM needs
Achieves deep integration between AI and CRM through the MCP protocol
Community - driven development, with continuous updates and improvements
Limitations
Requires GoHighLevel API keys and location IDs, and the setup process may be complex
Requires certain technical knowledge for configuration and maintenance
There are restrictions on API call frequencies, so be careful to avoid exceeding the limits

How to Use

Get API Key
Log in to your GoHighLevel account, go to Settings → Integrations → Private Integrations, create a private integration, and obtain the API key and location ID.
Deploy the MCP Server
Choose a deployment method (such as Vercel, Railway, Docker) and follow the documentation steps for deployment.
Configure Environment Variables
Set necessary variables such as GHL_API_KEY and GHL_LOCATION_ID in the deployment environment.
Connect the AI Model
Configure the MCP server address and authentication information in Claude Desktop or other MCP - compatible AI models.

Usage Examples

Automated Customer CommunicationSearch for customers marked as VIP. If they haven't been contacted in 30 days, send a personalized text message introducing new services.
Sales Opportunity ManagementCreate a Premium Package sales opportunity worth $5000 for customer John Smith, add it to the 'Enterprise Sales' pipeline, and schedule a follow - up meeting next Tuesday.
E - commerce Operation AutomationList products with low inventory, create a restocking notification campaign, and send it to customers marked as 'inventory - manager'.

Frequently Asked Questions

What permissions do I need to use the GoHighLevel MCP server?
Does the MCP server support other AI models?
What technical knowledge is required to deploy the GoHighLevel MCP server?
What deployment options are available for the MCP server?
How can I ensure that API calls do not exceed the limits?

Related Resources

GoHighLevel API Documentation
The official documentation of the GoHighLevel API, which details the functions of each endpoint.
Model Context Protocol (MCP) Official Website
The official website of the MCP protocol, providing protocol specifications and SDK information.
GitHub Repository
The GitHub repository of the GoHighLevel MCP server, containing source code and documentation.
Vercel Deployment Guide
Vercel's official documentation, guiding you on how to deploy applications.
Railway Deployment Guide
Railway's official documentation, guiding you on how to deploy applications.
YouTube Tutorials
The YouTube channel of the GoHighLevel community, providing video tutorials and usage examples.
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "ghl-mcp-server": {
      "command": "node",
      "args": ["path/to/ghl-mcp-server/dist/server.js"],
      "env": {
        "GHL_API_KEY": "your_private_integrations_api_key",
        "GHL_BASE_URL": "https://services.leadconnectorhq.com",
        "GHL_LOCATION_ID": "your_location_id"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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