Installation überspringen. In unter 2 Minuten einsatzbereit.
Starte eine kostenlose Testphase auf cloud.anythingmcp.com, füge Zammad mit einem Klick hinzu und richte deinen KI-Client (Claude, ChatGPT, Copilot oder Cursor) auf den erzeugten MCP-Endpoint. Kein Docker, kein git clone, keinerlei Entwicklungserfahrung nötig.
Summary
Zammad open-source helpdesk: tickets, their articles, users, organizations and groups, plus full-text search across the ticket base. REST API v1 on your own Zammad instance, token auth.
Frag einfach
Beispiel-Prompts für Zammad
Klick auf einen Prompt, um ihn zu kopieren. In Claude, ChatGPT, Cursor, Gemini, Copilot oder OpenClaw einfügen — und gegen diesen Connector laufen lassen.
Claude ist KI und kann Fehler machen. Bitte Antworten gegenprüfen.
💡 Keine Installation? Nutze cloud.anythingmcp.com direkt. Einloggen, Connectors → Zammad klicken, Zugangsdaten einfügen, MCP-API-Key erzeugen — fertig. Kein Docker, kein
git clone, kein lokaler Server.
Zammad + Gemini
Zammad open-source helpdesk: tickets, their articles, users, organizations and groups, plus full-text search across the ticket base. REST API v1 on your own Zammad instance, token auth.
Voraussetzungen
Die vollständige Setup-Anleitung ist in den Connector eingebaut (im Store sichtbar, wenn du den Connector auswählst). Benötigte Umgebungsvariablen für diesen Connector:
ZAMMAD_URL, ZAMMAD_API_TOKEN
Schritt 1 — Zugangsdaten holen
Getting a token
- Sign in to Zammad, open your avatar → Profile → Token Access, and switch token access on if an admin has not already.
- Create a token with the permissions the agent needs —
ticket.agentto read and answer tickets,adminonly if you really want the agent to change configuration. - Put it in
ZAMMAD_API_TOKENand your instance's base URL (no trailing slash, no/api) inZAMMAD_URL.
The Authorization header is Token token=…, Zammad's own scheme — not Bearer. This adapter sends it correctly; it is the first thing to check when hand-building a Zammad connector that 401s with a token you know is good.
…(continued in the in-app connector instructions)
Schritt 2 — Adapter installieren
curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d
Schritt 3 — Connector in Gemini hinzufügen
Gemini CLI liest MCP-Server aus ~/.gemini/settings.json (oder %APPDATA%\gemini\settings.json unter Windows). Hinzufügen:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- Hole deinen MCP API Key aus AnythingMCP → Profil → MCP API Keys → Neuer Key.
- Speichern und
geminineu starten. /mcpin Gemini CLI ausführen —Zammadsollte als verfügbar gelistet sein.- Vertex AI Studio:
https://cloud.anythingmcp.com/mcpimtools-Array der Anfrage mit demselben Bearer-Header übergeben.
Verfügbare Tools
| Tool | What it does |
|---|---|
zammad_get_me | Read the user the token belongs to, with their roles, group memberships and permissions |
zammad_list_tickets | List tickets, newest first, with state, priority, group, owner and customer |
zammad_search_tickets | Full-text search across tickets |
zammad_get_ticket | Read one ticket by number or id with all its attributes: state, priority, owner, customer, group, SLA and custom fields |
zammad_list_ticket_articles | Read the conversation on one ticket: every article in order, with sender, type, body and whether it is internal |
zammad_list_users | List users (agents and customers) with their name, e-mail, organization and active flag |
zammad_search_users | Find a user by name, e-mail or phone fragment — the usual first step before opening a ticket for somebody |
zammad_list_organizations | List organizations (the customer companies tickets are grouped under) with their domain, note and VIP flag |
zammad_list_groups | List the groups (queues) tickets are routed into, with their assignment and follow-up settings |
zammad_create_ticket | Open a real ticket in the live instance |
zammad_add_article | Add an article to an existing ticket |
FAQ
Unterstützen Gemini 1.5 Pro oder 2.x MCP? Ja — Gemini CLI ≥ 0.4 und die Vertex AI Tools API akzeptieren MCP httpUrl-Connectors mit Bearer-Header.
Nächste Schritte
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