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Datadog mit Claude verbinden — über MCP

Query Datadog (metrics, logs, monitors, events, incidents, dashboards) from any AI agent. 8 tools, dual-key auth.

HCBy HelpCode teamUpdated 2 min read Open source on GitHub
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Datadog

MCP connector

Datadog

Query Datadog (metrics, logs, monitors, events, incidents, dashboards) from any AI agent. 8 tools, dual-key auth.

Tools

8

Region

INTL

Category

monitoring

Authentication

API Key

Required env vars

DATADOG_API_KEYDATADOG_APP_KEY
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  • Open-source on GitHub
    Open source AGPL-3.0
  • Works with ChatGPT, Claude, Gemini
    Any MCP-compatible client

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Summary

Query Datadog (metrics, logs, monitors, events, incidents, dashboards) from any AI agent. 8 tools, dual-key auth.

Frag einfach

Beispiel-Prompts für Datadog

Klick auf einen Prompt, um ihn zu kopieren. In Claude, ChatGPT, Cursor, Gemini, Copilot oder OpenClaw einfügen — und gegen diesen Konnektor laufen lassen.

Datadog · live via MCP
Teilen
Opus 4.7

Claude ist KI und kann Fehler machen. Bitte Antworten gegenprüfen.

💡 Keine Installation? Nutze cloud.anythingmcp.com direkt. Einloggen, Connectors → Datadog klicken, Zugangsdaten einfügen, MCP-API-Key erzeugen — fertig. Kein Docker, kein git clone, kein lokaler Server.

Datadog + Claude

Query Datadog (metrics, logs, monitors, events, incidents, dashboards) from any AI agent. 8 tools, dual-key auth.

Voraussetzungen

Die vollständige Setup-Anleitung ist in den Connector eingebaut (im Store sichtbar, wenn du den Connector auswählst). Benötigte Umgebungsvariablen für diesen Connector:

DATADOG_API_KEY, DATADOG_APP_KEY

Schritt 1 — Zugangsdaten holen

This connector wraps the Datadog REST API v1/v2 (api.datadoghq.com).

Setup:

  1. In your Datadog org → Personal Settings → Organization Settings → API Keys → create or copy an API key. Set DATADOG_API_KEY.
  2. Organization Settings → Application Keys → create an application key with at least monitors_read, logs_read_data, dashboards_read, events_read scopes. Set DATADOG_APP_KEY.
  3. 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 baseUrl accordingly. …

Schritt 2 — Adapter installieren

git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d

Schritt 3 — Connector in Claude hinzufügen

Empfohlener Weg — funktioniert auf claude.ai web ohne Anfassen einer Konfigurationsdatei.

  1. Öffne claude.ai/customize/connectors.
  2. Klicke "Add custom connector".
  3. Trage ein:
    • Name: Datadog
    • URL: https://cloud.anythingmcp.com/mcp
    • Authentication: Bearer Token → MCP-API-Key einfügen (aus AnythingMCP → Profile → MCP API Keys → New Key)
  4. Klicke Connect zum Autorisieren.

Alle unten gelisteten Tools erscheinen in deinem Chat — leg los mit Prompts.

Verfügbare Tools

ToolWhat it does
datadog_query_metricsRun a metrics query over a time window
datadog_search_logsSearch logs using the Logs Search syntax
datadog_list_monitorsList monitors
datadog_get_monitorGet a single monitor by ID with full definition (query, thresholds, notifications, state)
datadog_list_dashboardsList all dashboards in the org
datadog_get_dashboardFetch a dashboard's full layout: widgets, queries, template variables
datadog_list_eventsList events in a time range
datadog_post_eventPost an event to the Datadog event stream (useful for marking deploys, releases, manual incidents)

FAQ

Funktioniert es mit Claude Code genauso wie mit Claude Desktop? Ja — beide auf https://cloud.anythingmcp.com/mcp zeigen lassen.

Nächste Schritte

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