Datadog MCP
Monitor infrastructure with AI via MCP. Query Datadog metrics, manage monitors, analyze APM traces, and investigate incidents.
What is Datadog MCP?
Datadog MCP integrates Datadog's observability platform with AI through MCP. Datadog provides unified monitoring for infrastructure, applications, logs, and security — used by thousands of organizations worldwide.
Unified Observability
AI models can query across metrics, traces, and logs simultaneously, correlate signals from different sources, and help identify root causes of issues faster than manual investigation.
Configuration
{"mcpServers":{"datadog":{"command":"npx","args":["datadog-mcp"],"env":{"DD_API_KEY":"your_api_key","DD_APP_KEY":"your_app_key"}}}}
Use Cases
Datadog MCP serves SRE teams investigating incidents, DevOps engineers optimizing infrastructure, and organizations needing AI-powered observability across their entire technology stack.
Key Features
- Query metrics and create custom queries
- Manage monitors and alerting
- Analyze APM traces and service maps
- Investigate logs with AI assistance
- Monitor infrastructure and containers
- Track SLOs and error budgets
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