
Connect Datadog to ChatGPT, Claude and Gemini
Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Manage your entire observability stack through natural conversation.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Your AI does the work. We keep it safe and sound.
No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.
Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

Each Connector runs inside its own sealed environment.
Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.
One switch stops every agent. Instantly.
One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.
Spending limits that pause instead of surprise.
Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.
Three controls, built into the layer your AI connects through.
Curated set · 11 capabilities
We ship only the actions that matter.
01-04
4 capabilities in this set.
Part of 11 available through Datadog.
- 01
Get dashboard
Retrieves all widget configurations, template variables, and layout structures for a specific dashboard.
- 02
Get monitor
Fetches notification settings, threshold values, and historical status changes for a specific monitor ID.
- 03
List downtimes
Returns scheduled maintenance periods, including scope tags and recurring schedules.
- 04
List events
Provides a collection of system events, including titles, priority levels, and sources like monitor alerts.
05-08
4 capabilities in this set.
Part of 11 available through Datadog.
- 05
List monitors
Filters monitors by their operational state, such as alert, warn, or ok, and returns their metadata.
- 06
Mute monitor
Sets temporary silence periods for specific monitors, with an option to set an automatic expiration.
- 07
Query metrics
Resolves time-series data within a UNIX timestamp range, returning metric points and scope tags.
- 08
List slos
Returns Service Level Objective definitions, including target percentages and current compliance status.
09-11
3 capabilities in this set.
Part of 11 available through Datadog.
- 09
Search logs
Searches through application logs using query syntax to find specific timestamps, status levels, and attributes.
- 10
List dashboards
Lists all available dashboards, including their titles, layout types, and direct access URLs.
- 11
List hosts
Provides host metadata, including agent versions, active tags, and cloud provider details.
Real work
What teams actually run
Incident Debugging
An SRE asks the agent to find the specific logs causing a spike in error rates during a deployment.
Performance Auditing
A developer checks CPU and memory usage trends for a specific service over a set time interval.
Maintenance Planning
A DevOps engineer lists scheduled downtimes to ensure no false alerts trigger during a window.
Compliance Checking
A team lead verifies if their current SLOs are meeting the required target percentages.
Automate a task
Put Datadog to work on one thing.
Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.
One connector, every AI
Datadog works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Datadog to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
Observed, not estimated
991ms average. Fast in production.
Datadog is checked daily against the live service.
- Fastest day
- 835ms
- Slowest day
- 1144ms
- 14-day trend
- Improving-6%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 11 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Datadog, so you can see the experience inside your AI.
It does not authenticate your account with Datadog. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Datadog Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_v7in3QWy0ApCG2tAnOZzEFbhEmNkQfEznkXebVEX/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Datadog capabilities are ready to use.
{
"mcpServers": {
"datadog-mcp": {
"url": "https://edge.vinkius.com/vk_preview_v7in3QWy0ApCG2tAnOZzEFbhEmNkQfEznkXebVEX/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Guided setup for Claude? Set up Datadog in Claude and other AIs
Who it's for
Built for the work Datadog owners hand off.
This MCP is built for technical teams who need real-time observability without leaving their development environment.
- 01
DevOps Engineers
They use the agent to monitor system health and audit alerts without opening the Datadog dashboard.
- 02
Software Developers
They search application logs and verify metric telemetry directly from their IDE.
- 03
SREs
They monitor active alerts and analyze performance trends during active incident responses.
FAQ
Questions Datadog owners ask.
- 01
How do I connect Datadog to my AI client?
You connect the Datadog MCP through the Vinkius catalog. Once connected, you will need to provide your Datadog API Key, APP Key, and Site to authorize the connection.
- 02
Can I mute alerts using this MCP?
Yes. You can use the mute_monitor capability to set temporary silence periods for specific monitors, including setting an automatic expiration.
- 03
Which AI clients can use this Datadog MCP?
This MCP works with any compatible client, including Claude, Cursor, Windsurf, and VS Code.
- 04
Can I search for specific error messages in my logs?
Yes. The search_logs capability allows your agent to interact with log storage to find entries matching your specific query syntax and status levels.
- 05
Does this MCP work with my existing Datadog dashboards?
Yes. You can use the list_dashboards and get_dashboard capabilities to view dashboard identifiers, titles, and layout structures.
- 06
Can my agent query specific Datadog metrics using DDQL?
Yes. Use the 'query_metrics' capability. Provide your DDQL query string and the target time range. The agent will fetch the numeric timeseries data directly from Datadog's telemetry datastores.
- 07
How do I search for a specific error message across my application logs?
Use the 'search_logs' capability. Provide a query matching your error string and an ISO time boundary. The agent will retrieve the structural extraction of logs matching those parameters to help you identify failures.
- 08
Can I see which monitors are currently in an alert state?
Absolutely. The 'list_monitors' capability allows you to filter by group state (e.g., 'alert,warn'). The agent pulls the explicitly configured system triggers to show you which services are currently unhealthy.
Explore
More in Industry Titans
Papertrail (Real-time Cloud Log Manager) AI Connector
Manage and analyze cloud logs in real-time via Papertrail — search events, list systems, and organize log grou
ViewNetdata AI Connector
Monitor real-time infrastructure metrics, analyze system performance, and track active alerts across your node
ViewLoggly (Cloud Log Management API) AI Connector
Manage cloud logs via Loggly — send events, execute Lucene searches, and analyze infrastructure metrics direct
ViewDatadog AI Connector
Monitor infrastructure, applications, and logs with unified observability that gives you full-stack visibility
View
Suggestions
Datadog AI Connector
Monitor infrastructure, applications, and logs with unified observability that gives you full-stack visibility
ViewAmazon CloudWatch Log Group AI Connector
This MCP does exactly one thing: it queries logs from a single CloudWatch Log Group. That's its only function,
ViewGoogle Cloud Logging Stream AI Connector
This MCP does exactly one thing: it queries logs using Google Cloud Logging. That's its only function, and not
ViewJD Cloud Infrastructure AI Connector
Manage JD Cloud supply-chain infrastructure from your AI. Control VMs, disks, databases, and monitor resource
View
Connect Datadog to Claude, Cursor, ChatGPT & more
