Datadog Connector for AI agents.
16 live capabilities
Manage infrastructure metrics and logs through natural conversation.
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Why people use Datadog
Datadog for Faster Incident Response
This Connector lets your AI agent do that heavy lifting for you. You can ask it to list active incidents and pull the logs for the highest priority one in a single go. You get a clear summary of the problem and the evidence you need to start your fix immediately.
What Vinkius changes
You get a conversational interface for your entire Datadog observability stack.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Triage a production outage
An SRE asks the agent to find all active incidents and then pulls the logs for the most severe one to find the error using search_logs.
- Real-world use case 02
Check SLO status during a release
A platform engineer asks the agent if the API availability SLO is still healthy after a new deployment using list_slos.
- Real-world use case 03
Mute noisy alerts during maintenance
A DevOps engineer asks the agent to mute all monitors related to the database during a scheduled update using mute_monitor.
Complete set · 16capabilities
The complete Datadog capability set.
These are the exact actions your AI can choose when you ask it to work with Datadog.
01—04
4 capabilities in this set.
Part of 16 available through Datadog.
- 01 Capability
Check datadog status
Verify your connection to the Datadog API is active. This helps you ensure your agent can see your data without any connectivity issues.
- 02 Capability
Create event
Create a custom event in your Datadog account with specific tags and priority levels. This is useful for marking milestones in your telemetry.
- 03 Capability
Get dashboard
Fetch the full details and layout for a specific dashboard. Use this to understand how a dashboard is structured without opening it.
- 04 Capability
Get incident
Pull all the details, including status and timeline, for a specific incident. It gives you a clear history of what happened.
05—08
4 capabilities in this set.
Part of 16 available through Datadog.
- 05 Capability
Get monitor
Retrieve the specific configuration and details for a single monitor. This helps you see exactly what triggers a specific alert.
- 06 Capability
List dashboards
Get a complete list of all dashboards in your account. Use this to browse your available monitoring views quickly.
- 07 Capability
List events
See a list of recent events recorded in your platform. This helps you track high-level activity across your infrastructure.
- 08 Capability
List hosts
View all reporting hosts with their associated metadata and tags. This is great for auditing your fleet's current state.
09—12
4 capabilities in this set.
Part of 16 available through Datadog.
- 09 Capability
List incidents
See a list of all currently active incidents. Use this to get a quick overview of what's currently broken.
- 10 Capability
List metrics
Browse the metrics available in your Datadog environment. This helps you identify which data points you can query.
- 11 Capability
List monitors
Get a list of all monitors configured in your account. Use this to audit your alerting coverage across your stack.
- 12 Capability
List slos
See all your Service Level Objectives and their current statuses. This helps you track your performance against your targets.
13—16
4 capabilities in this set.
Part of 16 available through Datadog.
- 13 Capability
Mute monitor
Silence a specific monitor to stop it from sending alerts. Use this to keep your notifications clean during maintenance.
- 14 Capability
Query metrics
Run a custom query to get specific time-series data. This lets you pull exact numbers for your specific needs.
- 15 Capability
Search logs
Search through your indexed logs using Datadog's query syntax. This is the fastest way to find errors across your stack.
- 16 Capability
Search monitors
Find specific monitors based on names or tags. This helps you locate specific alerts in a crowded environment.
Set up in minutes
One URL. Then ask Datadog to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Datadog from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_pCs8gaBRSNau7exJae9C6MPyEaXc4N3mFANNYVEO/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Datadog, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Datadog for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_pCs8gaBRSNau7exJae9C6MPyEaXc4N3mFANNYVEO/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Datadog URL.
- Step 03
Save and start
Save the connection and enable Datadog in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"datadog-extended": {
"url": "https://edge.vinkius.com/vk_preview_pCs8gaBRSNau7exJae9C6MPyEaXc4N3mFANNYVEO/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Datadog
Open Agent mode in chat and ask: "Using Datadog, help me...". 16 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"datadog-extended": {
"url": "https://edge.vinkius.com/vk_preview_pCs8gaBRSNau7exJae9C6MPyEaXc4N3mFANNYVEO/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Datadog
Ask Copilot: "Using Datadog, help me...". 16 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"datadog-extended": {
"url": "https://edge.vinkius.com/vk_preview_pCs8gaBRSNau7exJae9C6MPyEaXc4N3mFANNYVEO/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Datadog
Open Cascade and ask: "Using Datadog, help me...". 16 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"datadog-extended": {
"url": "https://edge.vinkius.com/vk_preview_pCs8gaBRSNau7exJae9C6MPyEaXc4N3mFANNYVEO/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Datadog
Ask Cline: "Using Datadog, help me...". 16 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add datadog-extended --transport http "https://edge.vinkius.com/vk_preview_pCs8gaBRSNau7exJae9C6MPyEaXc4N3mFANNYVEO/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Datadog
Ask Claude: "Using Datadog, show me...". 16 tools are ready
Where the request belongs
Work Datadog can move forward.
This is for the engineers who live in the telemetry but are tired of the manual clicking. It's for the people who need to make fast decisions during high-pressure outages or manage massive fleets without getting lost in the UI.
SRE / DevOps Engineer
The person who needs to triage incidents at 3 AM and wants to find the error logs instantly without a browser login.
Platform Team Engineer
The engineer who needs to validate SLO compliance and check host health across a massive fleet of servers.
On-Call Engineer
The person who needs to quickly mute noisy monitors during a maintenance window to stay focused on the real work.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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New Relic
Monitor and query your entire stack via New Relic NerdGraph. track entities, NRQL, and alerts directly from your AI agent.
Dynatrace (APM and Observability)
Monitor and manage your Dynatrace environment. query metrics, track problems, manage entities, and automate observability workflows directly from your AI agent.
ncScale
Monitor and observe your no-code stack via ncScale. track logs, alerts, and tickets directly from your AI agent.
Bring your own AI
Change the model, client or framework. Keep Datadog connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Datadog.
The practical details behind the request, access and result.
Can the Datadog MCP help me triage outages faster?
Yes, it lets you pull incident details and search logs through your AI client instantly, so you don't have to switch tabs to see what's broken.
How do I use the Datadog MCP to manage noisy alerts?
You can ask your agent to list your monitors and mute the ones that are firing during maintenance, helping you keep your notifications clean.
Can I check my SLO budgets with the Datadog MCP?
Yes, your agent can pull your Service Level Objectives and tell you exactly how much error budget remains for your key services.
Does the Datadog MCP support custom metric queries?
It does. You can ask your agent to run specific queries using Datadog's standard syntax to get the exact numbers you need.
Can I see my host inventory using the Datadog MCP?
Yes, your agent can list all reporting hosts along with their tags and agent versions to help you audit your infrastructure.
Is the Datadog MCP good for searching logs?
It's excellent for that. You can search across all indexed log sources using natural language commands to find specific errors or events.
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 capability 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.
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Give your agent a direct line to Datadog.
Connect Datadog once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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