Salta l'installazione. Attivo in meno di 2 minuti.
Avvia una prova gratuita su cloud.anythingmcp.com, aggiungi Zammad con un clic, poi punta il tuo client AI (Claude, ChatGPT, Copilot o Cursor) all'endpoint MCP generato. Niente Docker, niente git clone, nessuna esperienza di sviluppo richiesta.
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.
Prova a chiedere
Prompt di esempio per Zammad
Clicca su un prompt per copiarlo. Incollalo in Claude, ChatGPT, Cursor, Gemini, Copilot o OpenClaw per eseguirlo contro questo connettore.
Claude è un'AI e può sbagliare. Verifica sempre le risposte.
💡 Niente installazione? Vai direttamente su cloud.anythingmcp.com. Accedi, clicca Connectors → Zammad, inserisci le credenziali, genera una MCP API key — fatto. Niente Docker, niente
git clone, niente server locale.
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.
Prerequisiti
Le istruzioni di setup complete sono incluse nel connettore stesso (visibili nello store quando lo selezioni). Le variabili d'ambiente richieste sono:
ZAMMAD_URL, ZAMMAD_API_TOKEN
Step 1 — Ottieni le credenziali
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)
Step 2 — Installa l'adapter
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
Step 3 — Aggiungi il connettore in Gemini
Gemini CLI legge i server MCP da ~/.gemini/settings.json (o %APPDATA%\gemini\settings.json su Windows). Aggiungi:
{
"mcpServers": {
"anythingmcp": {
"httpUrl": "https://cloud.anythingmcp.com/mcp",
"headers": { "Authorization": "Bearer YOUR_MCP_API_KEY" }
}
}
}
- Ottieni la tua MCP API key da AnythingMCP → Profilo → MCP API Keys → Nuova Key.
- Salva il file e riavvia
gemini. - Esegui
/mcpnella Gemini CLI —Zammaddovrebbe essere elencato come disponibile. - Vertex AI Studio: passa
https://cloud.anythingmcp.com/mcpnell'arraytoolsdella richiesta con lo stesso header Bearer.
Tool disponibili
| 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
Gemini 1.5 Pro o 2.x supportano MCP? Sì — Gemini CLI ≥ 0.4 e la Vertex AI tools API accettano connettori MCP httpUrl con header Bearer.
Prossimi passi
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