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Zammad MCP Server

MCP Server

Seamless AI integration with Zammad ticketing via Go-based MCP

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Updated 15 days ago

About

The Zammad MCP Server, written in Go, exposes the Zammad API through Model Context Protocol resources and tools. It allows AI agents to list, view, search, create tickets, add notes, and retrieve ticket communication history directly from a Zammad instance.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Zammad MCP Go – Bridging AI Assistants and Ticketing Workflows

The Zammad MCP Go server fills a critical gap for developers building AI‑powered support solutions: it exposes the full breadth of Zammad’s ticketing API to an MCP client in a structured, declarative manner. Rather than writing custom adapters for each endpoint, the server presents a consistent set of resources and tools that an AI assistant can discover, query, and invoke with simple JSON payloads. This unified interface lets Claude or other assistants read ticket data, create new tickets, and enrich existing conversations without leaving the conversational context.

At its core, the server offers two kinds of interactions. Resources provide read‑only access to collections or individual items, such as for a list of all tickets and for user details. These resources return data in a predictable JSON format, allowing the assistant to embed ticket or user information directly into responses. Tools, on the other hand, perform actions that modify state: opens a new support case, appends internal notes, and or filter existing records. Each tool is defined with clear required and optional parameters, ensuring the assistant supplies only what is necessary while still offering flexibility.

For developers, this translates into a powerful workflow. An AI assistant can answer a customer’s question, automatically create a ticket with the relevant context, and add an internal note summarizing the conversation—all in one turn. When a support agent needs to reference a ticket’s history, the assistant can retrieve and surface key communication points without manual API calls. Because the MCP server handles authentication via a Zammad API token, developers can manage permissions centrally and keep credentials out of the assistant’s code.

The server’s design also supports scaling. Multiple agents can share a single MCP instance, and the underlying Go implementation guarantees low latency even under high request volumes. Its explicit MIME types () and templated URIs make integration with existing MCP‑aware tools straightforward. Developers who already use the MCP framework will find that adding Zammad support requires no changes to their assistant’s logic—only a new endpoint and the corresponding tool definitions.

In real‑world scenarios, this MCP server is invaluable for customer support platforms, helpdesk automation, and knowledge‑base bots. Whether it’s a chatbot that opens tickets on behalf of users, an internal tool that surfaces pending cases to agents, or a reporting assistant that pulls ticket metrics, the Zammad MCP Go server provides a clean, secure bridge between AI assistants and enterprise ticketing systems.