Datadog MCP Server with 16 Tools Ready for AI Agents

Name: Datadog
Availability: InStock
Author: Vinkius

GDPR Free for Subscribers

Monitor infrastructure, applications, and logs with unified observability that gives you full-stack visibility in real time. Unlock 16 tools ready out of the box. Connect this App Connector to instantly empower AI agents like Claude Code, Cursor, or any MCP-compatible client with advanced capabilities.

Built for AI Agents by Vinkius

Ask AI about this App Connector

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius delivers Streamable HTTP and SSE to any MCP client

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

What is the Datadog MCP Server?

The Datadog MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Datadog via 16 tools. Monitor infrastructure, applications, and logs with unified observability that gives you full-stack visibility in real time. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (16)

check_datadog_statuscreate_eventget_dashboardget_incidentget_monitorlist_dashboardslist_eventslist_hostslist_incidentslist_metricslist_monitorslist_slosmute_monitorquery_metricssearch_logssearch_monitors

Tools for your AI Agents to operate Datadog

Ask your AI agent "Show all monitors that are currently alerting and mute the noisiest one." and get the answer without opening a single dashboard. With 16 tools connected to real Datadog data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

Build your own MCP Server with our secure development framework →

The Datadog App Connector works with every AI agent you already use

…and any MCP-compatible client

Use all 16 Datadog tools with your AI agents right now

Empower your AI agents to connect to Datadog and securely perform advanced actions on Vinkius infrastructure. Beyond a simple connection, you gain an advanced AI Gateway that provides complete visibility into agent activity, ensuring maximum governance and optimized token usage.

check_datadog_status

Verify connectivity

create_event

Create an event

get_dashboard

Get dashboard details

get_incident

Get incident details

get_monitor

Get monitor details

list_dashboards

List dashboards

list_events

List events

list_hosts

List hosts

list_incidents

List incidents

list_metrics

List metrics

list_monitors

List monitors

list_slos

List SLOs

mute_monitor

Mute a monitor

query_metrics

Query metric data

search_logs

Search logs

search_monitors

Search monitors

What the Datadog MCP Server unlocks

Connect your Datadog account to any AI agent and take full control of your observability stack through natural conversation.

What you can do

Monitor Management — List, search, inspect, and mute monitors to control alert noise during maintenance windows
Dashboard Inspection — Browse dashboards and retrieve full layouts, widgets, and template variables
Metric Queries — Run time-series queries using Datadog syntax (e.g., avg:system.cpu.user{*}) with custom time ranges
Log Search — Search log events using Datadog query syntax across all indexed log sources
Event Tracking — Browse platform events and create custom events with tags and priority levels
Incident Management — List active incidents with severity, status, responders, and timeline details
SLO Monitoring — Review Service Level Objectives with targets, error budgets, and compliance status
Host Inventory — Access all reporting hosts with metadata, tags, and agent versions

How it works

1. Subscribe to this server
2. Enter your Datadog API Key and your site URL (e.g., https://api.datadoghq.com for US or https://api.datadoghq.eu for EU)
3. Start monitoring your infrastructure from Claude, Cursor, or any MCP-compatible client

Who is this for?

SRE / DevOps Engineers — query monitors, mute noisy alerts, and inspect incidents without opening the Datadog dashboard
Platform Teams — run metric queries and validate SLO compliance through conversational AI
On-Call Engineers — triage incidents, search error logs, and check host health during outages via natural language

Frequently asked questions about the Datadog MCP Server

Can I silence noisy monitors during scheduled maintenance?

Yes. The mute_monitor action silences a specific monitor by its ID, suppressing all alert notifications. This is ideal during deployment windows or planned maintenance. Use search_monitors to find the monitor by name or tag first, then mute it by ID.

Does Datadog require two credentials to connect?

Yes. You need your API Key (found in Organization Settings > API Keys) and your Base URL, which depends on your Datadog site region: https://api.datadoghq.com for US1, https://api.datadoghq.eu for EU, or https://api.us3.datadoghq.com for US3. The API Key is sent via the DD-API-KEY header.

Can I run time-series metric queries with custom time ranges?

Yes. The query_metrics tool accepts a Datadog metric query string (e.g., avg:system.cpu.user{host:web-01}), a start epoch timestamp, and an end epoch timestamp. It returns the time-series data points for that metric across the specified window.