Hosted MCP Server for LiveAgent

Set Up Your LiveAgent Environment

Create Your LiveAgent API Key

1. Access LiveAgent Portal: Log in to your LiveAgent portal.

2. Navigate to Settings: Click on the “gear” icon in the left sidebar.

   

3. Access API Settings:

   • Click on System at the bottom of the settings sidebar to open a dropdown menu.
   • Choose API from the dropdown menu.

4. Create API Key:

   • Click Add API Key.
   • Configure the following:
     • Name: Provide a descriptive name (e.g., FlowHunt-LiveAgent-Integration).
     • Expiration Date Time: Select an expiration date for the key.
     • Whitelist: Specify allowed IP addresses (optional).
     • Privileges: Check all privileges or select specific ones as needed.
   • Click Create Key.
   • Copy the generated API key to a secure location, such as a password manager, for use in FlowHunt.

💡 Pro Tip: Store your API key securely and avoid sharing it publicly. Using environment variables for API key management is recommended for enhanced security.

Connect to FlowHunt Dashboard

1. Access FlowHunt: Log in to your FlowHunt.io dashboard .

2. Navigate to Integrations: Find the “Integrations” section in the left sidebar.

3. Select LiveAgent: Click on the LiveAgent integration option to begin the setup process.

   

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Configure the LiveAgent Integration

Enter Connection Details

In the LiveAgent integration setup page, provide the following information:

4. Integrate: Click Integrate to complete the setup process.

Deploy the LiveAgent MCP Server

Add the MCP Server

1. Navigate to MCP Servers: Go to the “MCP Servers” tab in your FlowHunt dashboard.
2. Add New Server: Click “Add New MCP Server”.
3. Select LiveAgent: Choose “LiveAgent MCP Server” from the available options.
4. Enter API Details: Provide the API key and, if required, the LiveAgent Base URL.
5. Configure Server Tools: Select the tools you want to enable for your MCP server.

6. Finalize Setup: Click “Add MCP Server” to complete the configuration.

📝 Note: You can modify or add tools later based on your evolving automation needs.

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Connect MCP Server to Client

Configure the MCP Client

1. Access Connect Tab: Navigate to the “Connect” tab in your MCP Server configuration.
2. Choose Client: Select your preferred MCP client:
   • FlowHunt AI Agent (recommended)
   • Claude Desktop
   • Custom client applications
3. Apply Configuration: Use the provided JSON format:

{
  "mcp": {
    "transport": "streamable_http",
    "url": "https://mcp.flowhunt.io/••••••••"
  }
}

Security Considerations

🔒 Important: Treat your MCP server URL as a password. It provides direct access to your LiveAgent data and server tools. Never share it publicly or commit it to version control.

4. Test the Connection: Verify functionality by running a test query, such as listing tickets or retrieving ticket details.

Create AI-Powered Workflows

You have two powerful options for implementing your LiveAgent automation:

Option A: Quick Start with Preconfigured Flow

Best for: Getting started quickly with proven automation patterns

1. Generate Flow: In your MCP Server configuration, click “Create Preconfigured Flow”.

2. Select Template: Choose “AI Agent with MCP” to create a ready-to-use workflow.

3. Customize Logic: Use FlowHunt’s visual flow builder to tailor the automation:

   • Set up page creation for meeting notes or reports.
   • Configure automatic content updates for documentation.
   • Implement page searches for knowledge base queries.
   • Create automated notifications for page changes.

   

4. Activate: Save and activate your flow to begin automated operations.

Option B: Custom Integration

Best for: Specific automation requirements or existing workflow enhancement

1. Create/Edit Flow: Open FlowHunt’s flow builder and start with a new or existing flow.
2. Add MCP Component: Drag the “MCP Server Component” onto your canvas.
3. Configure Connection: Paste your MCP client configuration:

{
  "mcp": {
    "transport": "streamable_http",
    "url": "https://mcp.flowhunt.io/••••••••"
  }
}

4. Design Workflow: Create custom logic that leverages the MCP server tools:

   • Search pages for specific project documentation.
   • Update page content based on external triggers.
   • Create new pages for automated reporting.
   • Retrieve page details for AI-driven content analysis.

   

5. Deploy: Save your configuration and activate the flow.

List of Prompts

Below are example prompts that demonstrate the practical capabilities of the LiveAgent MCP Server. These prompts show how you can use natural language to manage customer support tickets, agents, and contacts efficiently.

Ticket Management Prompts

Show me all open tickets from the last 24 hours

Create a new support ticket for customer john@example.com with subject "Payment Issue" and description "Customer unable to complete checkout"

Get the full details and message history for ticket #12345

Update ticket #12345 to status "Resolved" and assign it to agent Sarah Johnson

List all high-priority tickets that have been open for more than 48 hours

Agent and Team Management Prompts

Show me all available support agents and their current workload

Get the profile details and performance stats for agent ID 789

List all departments in our support system

Find all tickets assigned to the Technical Support department

Contact Management Prompts

Create a new contact for Jane Smith with email jane.smith@company.com and phone +1-555-0123

Show me all contacts who have submitted tickets in the past week

Get the complete contact information and ticket history for contact ID 456

List all contacts from the enterprise tier who have open tickets

Support Analytics and Reporting Prompts

Generate a summary of all tickets created today grouped by department

Show me tickets that have been reopened more than twice

List all unassigned tickets older than 3 days

These prompts demonstrate how the LiveAgent MCP Server enables your AI assistant to interact naturally with your customer support system, making ticket management, agent coordination, and customer relationship tracking more efficient and intuitive.

Conclusion

Integrating LiveAgent MCP Server with FlowHunt.io creates a powerful foundation for intelligent documentation automation. Whether you’re streamlining page management, automating content updates, or enhancing knowledge sharing, this integration empowers your AI agents to work seamlessly with your critical LiveAgent data.

Start with a simple automation and gradually expand your workflows as you become more comfortable with the platform. The combination of LiveAgent’s robust content management capabilities and FlowHunt’s AI-driven automation will transform how your team collaborates and manages documentation.

Ready to get started? Begin your integration today and unlock the full potential of AI-powered documentation automation!