Salta l'installazione. Attivo in meno di 2 minuti.
Avvia una prova gratuita su cloud.anythingmcp.com, aggiungi Zabbix 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
Zabbix monitoring: hosts, host groups, items, triggers, active problems, events and the latest measured values. JSON-RPC API over a single endpoint, bearer API token.
Prova a chiedere
Prompt di esempio per Zabbix
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 → Zabbix, inserisci le credenziali, genera una MCP API key — fatto. Niente Docker, niente
git clone, niente server locale.
Zabbix + Gemini
Zabbix monitoring: hosts, host groups, items, triggers, active problems, events and the latest measured values. JSON-RPC API over a single endpoint, bearer API token.
Prerequisiti
Le istruzioni di setup complete sono incluse nel connettore stesso (visibili nello store quando lo selezioni). Le variabili d'ambiente richieste sono:
ZABBIX_URL, ZABBIX_API_TOKEN
Step 1 — Ottieni le credenziali
Getting a token (Zabbix 5.4 and newer)
- Sign in to the Zabbix frontend as a Super admin and open Users → API tokens.
- Create a token for a user with read permission on the host groups the agent should see, and copy the value — Zabbix shows it once.
- Set
ZABBIX_URLto your frontend root (no trailing slash, no/api_jsonrpc.php) andZABBIX_API_TOKENto the token. The adapter sends it asAuthorization: Bearer …, which Zabbix 6.0+ accepts; on 5.4 the token also works in the JSON-RPCauthfield, which this adapter does not use.
…(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 —Zabbixdovrebbe 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 |
|---|---|
zabbix_get_api_version | Read the Zabbix API version |
zabbix_list_hosts | List monitored hosts with their name, status, interfaces and host groups |
zabbix_list_host_groups | List host groups with their id, name and the number of hosts in each |
zabbix_list_problems | List the problems that are active right now, with their severity, host, name and the time they started |
zabbix_list_events | List events from the history — including problems that have since resolved, which problem |
zabbix_list_triggers | List triggers with their expression, severity, current value and the host they belong to — the rules that turn measurements into problems |
zabbix_list_items | List monitored items with their key, name, type, value type and units — what Zabbix actually measures on a host |
zabbix_get_latest_values | Read the most recent value of specific items — the current disk usage, load average or temperature, rather than the alert about it |
zabbix_get_history | Read historical values of one item over a time range — the series behind a graph |
zabbix_list_maintenance_windows | List configured maintenance windows with their hosts, groups and periods — the explanation for why an alert did not fire |
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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