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Zendesk

Support Tickets Messaging & Social

Install Command

npx clawhub@latest install zendesk

Installation Guide

1
Check Environment

Make sure Node.js 22+ and OpenClaw are installed. Run openclaw --version in your terminal to verify.

2
Run Installation

Run the install command above in your terminal. ClawHub will automatically download and install Zendesk to the ~/.openclaw/skills/ directory.

3
Verify Installation

Run openclaw skills list to check your installed skills and confirm Zendesk appears in the list.

4
Configure (Optional)

Follow the configuration instructions in the description below to add skill settings to ~/.config/openclaw/openclaw.json5.

Manual Installation: Copy the Skill folder to ~/.openclaw/skills/ or the skills/ directory in your project root. Make sure the folder contains a SKILL.md file.
Search and view support tickets AI-powered ticket classification and priority assessment Ticket trend analysis and statistics

Detailed Description

Zendesk MCP Server integrates the customer support ticket system into AI, enabling intelligent ticket analysis, automatic classification, and trend insights to boost support team efficiency.

Core Features

  • Ticket Search & Viewing: Search tickets by keyword, status, and priority, view complete conversation history and internal notes
  • Intelligent Classification: Let AI analyze ticket content to automatically suggest category labels, priority, and assignment teams
  • Trend Analysis: Track ticket volume trends, identify high-frequency issue types, and generate support reports

Configuration

{
  "mcpServers": {
    "zendesk": {
      "command": "npx",
      "args": ["-y", "mcp-zendesk"],
      "env": {
        "ZENDESK_SUBDOMAIN": "your-subdomain",
        "ZENDESK_EMAIL": "admin-email",
        "ZENDESK_API_TOKEN": "API token"
      }
    }
  }
}

Use Cases

  • Batch analyze uncategorized tickets with AI suggesting labels and priorities
  • Quickly search a specific customer's historical ticket records
  • Generate weekly support reports to identify product pain points
  • Detect ticket backlogs and optimize support resource allocation