Datadog Connector for AI agents.
16 live capabilities
Query metrics and search logs across your entire infrastructure.
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Why people use Datadog
Fix Production Outages Faster with the Datadog for Infrastructure Monitoring
This Connector changes that by putting your data in your chat. You can ask your agent to pull the last 50 error logs or summarize active incidents in seconds. You get immediate answers without the friction of navigating a complex UI.
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
Rapid Incident Triage
An engineer asks the agent to find all 500 errors for the payment service in the last 10 minutes using search_logs.
- Real-world use case 02
Audit Readiness
A manager asks the agent to list all monitors and check for missing tags on production hosts using list_monitors.
- Real-world use case 03
Maintenance Window Management
An SRE asks the agent to mute all web server monitors for a scheduled database migration 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 connectivity
- 02 Capability
Create event
Create an event
- 03 Capability
Get dashboard
Fetch the specific configuration details for a Datadog dashboard using its unique ID.
- 04 Capability
Get incident
Get incident details
05—08
4 capabilities in this set.
Part of 16 available through Datadog.
- 05 Capability
Get monitor
Retrieve the configuration and status of a specific Datadog monitor.
- 06 Capability
List events
List events
- 07 Capability
List incidents
View active and recently resolved incidents with severity levels and responder info.
- 08 Capability
List metrics
List metrics
09—12
4 capabilities in this set.
Part of 16 available through Datadog.
- 09 Capability
List monitors
Get a full list of all monitors to audit your alerting coverage across the stack.
- 10 Capability
Mute monitor
Silence a specific monitor during maintenance windows to prevent unnecessary alerts.
- 11 Capability
List slos
Audit your Service Level Objectives to track availability targets across different teams.
- 12 Capability
Query metrics
Run Datadog query syntax to analyze metric trends like CPU or memory usage.
13—16
4 capabilities in this set.
Part of 16 available through Datadog.
- 13 Capability
Search logs
Search for log events using filters like service, status, or specific indexed attributes.
- 14 Capability
Search monitors
Search monitors
- 15 Capability
List hosts
See a list of all monitored hosts including their tags and current metric summaries.
- 16 Capability
List dashboards
Discover all available dashboards and their widget configurations.
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_oO12PZpN4jzeqVhbVffRApIi9JBi4zx1zUUaHQvL/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_oO12PZpN4jzeqVhbVffRApIi9JBi4zx1zUUaHQvL/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-alternative": {
"url": "https://edge.vinkius.com/vk_preview_oO12PZpN4jzeqVhbVffRApIi9JBi4zx1zUUaHQvL/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-alternative": {
"url": "https://edge.vinkius.com/vk_preview_oO12PZpN4jzeqVhbVffRApIi9JBi4zx1zUUaHQvL/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-alternative": {
"url": "https://edge.vinkius.com/vk_preview_oO12PZpN4jzeqVhbVffRApIi9JBi4zx1zUUaHQvL/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-alternative": {
"url": "https://edge.vinkius.com/vk_preview_oO12PZpN4jzeqVhbVffRApIi9JBi4zx1zUUaHQvL/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-alternative --transport http "https://edge.vinkius.com/vk_preview_oO12PZpN4jzeqVhbVffRApIi9JBi4zx1zUUaHQvL/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.
SREs who are tired of tab-switching during high-pressure incidents and engineering managers who need to audit monitor coverage across multiple teams without manual audits.
SRE / On-Call Engineer
Triages alerts and investigates root causes by querying logs and metrics during active incidents.
Engineering Manager
Audits SLO compliance and reviews team ownership of monitors and dashboards.
DevOps Engineer
Manages monitor lifecycles and checks host health during deployment windows.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Prometheus
Monitor your infrastructure with Prometheus. run PromQL queries, analyze metrics, and manage time-series data directly from your AI agent.
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.
-
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 search my logs for specific errors?
Yes, it can search structured and unstructured logs using filters like service name, status codes, and host info. This lets you find specific error patterns without manually navigating the log explorer.
How do I use the Datadog MCP to manage my alerts?
You can create, update, and mute monitors using natural language. This helps you manage alert fatigue and silence specific monitors during planned maintenance windows.
Can I use this to check my SLO compliance?
Yes, the Connector can list your Service Level Objectives so you can verify availability targets across your teams and ensure you're meeting your SLAs.
Is the Datadog MCP good for incident response?
It's great for triage. You can quickly see active incidents, severity levels, and responder assignments without leaving your agent, helping you stay focused on the fix.
Can I audit my Datadog user permissions with this?
Yes, it lets you list users and teams to verify who has access to what, helping you maintain security and audit organizational roles easily.
Can I query my infrastructure metrics using the Datadog MCP?
You can query raw metric timeseries for things like CPU, memory, and custom business metrics using Datadog's query syntax directly through your agent.
What's the difference between Datadog API Key and Application Key?
The API Key authenticates your requests to the Datadog platform and is required for all endpoints. The Application Key is an additional layer of authorization that controls what actions your integration can perform. Both are generated in Organization Settings > API and Application Keys. Most Datadog API endpoints require both keys.
Can I mute a monitor during a maintenance window?
Yes! Use the mute_monitor action with the monitor ID. You can optionally set an end timestamp (ISO 8601) for the mute to automatically expire, or specify a scope to mute only certain sub-alerts (e.g. 'env:staging'). Use unmute_monitor to re-enable notifications.
What query syntax does the metrics endpoint use?
Datadog uses a specific query format: [function]:[metric]{[tags]}. For example: avg:system.cpu.user{host:web01} returns the average CPU user time for host web01. Common functions include avg, sum, max, min, count. Time windows are specified in the query as avg(last_5m):... or passed as from/to Unix timestamps to the capability.
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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