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Summary
Query Datadog (metrics, logs, monitors, events, incidents, dashboards) from any AI agent. 8 tools, dual-key auth.
Prova a chiedere
Prompt di esempio per Datadog
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 → Datadog, inserisci le credenziali, genera una MCP API key — fatto. Niente Docker, niente
git clone, niente server locale.
Datadog + Gemini
Query Datadog (metrics, logs, monitors, events, incidents, dashboards) from any AI agent. 8 tools, dual-key auth.
Prerequisiti
Le istruzioni di setup complete sono incluse nel connettore stesso (visibili nello store quando lo selezioni). Le variabili d'ambiente richieste sono:
DATADOG_API_KEY, DATADOG_APP_KEY
Step 1 — Ottieni le credenziali
This connector wraps the Datadog REST API v1/v2 (api.datadoghq.com).
Setup:
- In your Datadog org → Personal Settings → Organization Settings → API Keys → create or copy an API key. Set
DATADOG_API_KEY. - Organization Settings → Application Keys → create an application key with at least
monitors_read,logs_read_data,dashboards_read,events_readscopes. SetDATADOG_APP_KEY. - Site matters: Datadog has multiple regions: US1 (datadoghq.com — default), US3 (us3.datadoghq.com), US5 (us5.datadoghq.com), EU1 (datadoghq.eu), AP1 (ap1.datadoghq.com), US1-FED (ddog-gov.com). If your org is on a non-US1 site, change
baseUrlaccordingly. …
Step 2 — Installa l'adapter
git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && 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 —Datadogdovrebbe 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 |
|---|---|
datadog_query_metrics | Run a metrics query over a time window |
datadog_search_logs | Search logs using the Logs Search syntax |
datadog_list_monitors | List monitors |
datadog_get_monitor | Get a single monitor by ID with full definition (query, thresholds, notifications, state) |
datadog_list_dashboards | List all dashboards in the org |
datadog_get_dashboard | Fetch a dashboard's full layout: widgets, queries, template variables |
datadog_list_events | List events in a time range |
datadog_post_event | Post an event to the Datadog event stream (useful for marking deploys, releases, manual incidents) |
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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