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Zammad

Enables AI assistants to interact with Zammad tickets, users, and organizations through a standardized Model Context Protocol interface.

About

Zammad is a Model Context Protocol (MCP) server designed to bridge the gap between AI assistants and the Zammad helpdesk system. It provides a standardized interface for AI models to programmatically manage tickets, access user and organization data, and retrieve system information. By offering a comprehensive set of tools, resources, and pre-configured prompts, Zammad-MCP empowers AI assistants to automate tasks, draft responses, analyze customer interactions, and enhance the efficiency of customer support operations.

Key Features

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  • Comprehensive Ticket Management (create, update, search, add articles, manage tags)
  • Direct Zammad Data Access via Resources (tickets, users, organizations)
  • System Information Retrieval (groups, states, priorities, statistics)
  • Pre-configured Prompts for Common Tasks (e.g., analyze ticket, draft response, escalation summary)
  • User and Organization Data Access (search, retrieve details)

Use Cases

  • Automate searching and retrieving open tickets for AI analysis.
  • Allow AI assistants to create new support tickets based on customer input.
  • Enable AI-driven updates and responses to existing customer support tickets.