Datadog MCP Server provides a bridge to the Datadog monitoring platform, enabling AI assistants to access metrics, logs, dashboards, monitors, and incidents through a standardized interface. Developed by GeLi2001, this TypeScript implementation leverages the official Datadog API client to offer ten specialized tools for querying and analyzing observability data. The server supports both environment variables and command-line configuration for authentication, making it easy to integrate with Claude Desktop or other MCP clients. It's particularly valuable for DevOps and SRE workflows where users need to investigate system performance, troubleshoot issues, or analyze monitoring data without switching context to the Datadog web interface.
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Highlight AIFetch monitors with optional filtering.
Get details of a specific monitor by ID.
List all dashboards.
Get a specific dashboard by ID.
List available metrics.
Get metadata for a specific metric.
Fetch events within a time range.
List incidents with optional filtering.
Search logs with advanced query filtering.
Perform analytics and aggregations on log data.
