Bring Ticket Management
to Mastra AI
Learn how to connect Zammad to Mastra AI and start using 41 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Zammad MCP Server?
Connect your Zammad helpdesk to any AI agent to streamline your customer support and user management through natural conversation.
What you can do
- Ticket Management — List, retrieve, and create tickets to stay on top of customer requests using
list_ticketsandget_ticket. - User & Organization Control — Search, create, and update user profiles and organizational data with tools like
search_usersandlist_organizations. - Group & Role Insights — List and search through system groups and roles to understand permissions and assignments.
- Data Privacy — Securely handle user deletions via specialized data privacy tasks using
data_privacy_delete_user.
How it works
- Subscribe to this server
- Enter your Zammad URL and Personal Access Token
- Start managing your helpdesk from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Support Leads — quickly get ticket statuses and user history without switching tabs.
- System Admins — manage users, groups, and organizations directly from the terminal or AI interface.
- DevOps Engineers — integrate helpdesk data into automated workflows and reporting.
Built-in capabilities (41)
Add a tag to an object
Create a new Zammad ticket
Create a new article on a ticket
Create a new Zammad user
Delete a user via Data Privacy task (Recommended over direct delete)
Delete a Zammad ticket
Delete a Zammad user
Get details for a specific Zammad group
Get links for a specific object
Get current Zammad user details
Get details for a specific Zammad organization
Get shared draft for a ticket
Get details for a specific Zammad ticket
Get details for a specific ticket article
Get details for a specific Zammad user
List all tags in the system (Admin)
List calendars
List checklist items
List checklist templates
List checklists
List all Zammad groups
List mentions
List all Zammad organizations
List all Zammad roles
List SLAs
List tags for a specific object (e.g., Ticket)
List articles for a specific ticket
List ticket priorities
List ticket states
List Zammad tickets
List time accountings for a ticket
List all Zammad users
Remove a tag from an object
Search for groups in Zammad
Search for organizations in Zammad
Search for roles in Zammad
Search for tickets in Zammad
Search for users in Zammad
Trigger async generation of a ticket summary
Update an existing Zammad ticket
Update an existing Zammad user
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and Zammad tool infrastructure. Connect 41 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
- —
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Zammad without touching business code
- —
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
- —
TypeScript-native: full type inference for every Zammad tool response with IDE autocomplete and compile-time checks
- —
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Zammad in Mastra AI
Zammad and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Zammad to Mastra AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Zammad in Mastra AI
The Zammad MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 41 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Zammad for Mastra AI
Every tool call from Mastra AI to the Zammad MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I search for specific users or organizations within Zammad?
Yes! You can use the search_users and search_organizations tools to find specific records using search queries directly from your AI agent.
How do I safely delete a user according to data privacy standards?
It is recommended to use the data_privacy_delete_user tool. This initiates a Data Privacy task in Zammad, which is the preferred method over direct deletion for compliance.
Can I view my own Zammad profile details?
Yes, the get_me tool allows you to retrieve the profile details of the currently authenticated user associated with your access token.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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