Datadog
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Enables AI assistants to interact with Datadog's observability platform using natural language queries.
About
Datadog is a Model Context Protocol (MCP) server designed to empower AI assistants to seamlessly interact with Datadog's comprehensive observability platform. It allows natural language queries to retrieve various types of data, including metrics, logs, traces, infrastructure details, and monitor statuses, bridging the gap between human language and complex monitoring systems. This integration facilitates intuitive data exploration and operational insights directly through conversational AI, providing a powerful interface for understanding system health and performance.
Key Features
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- Query time-series metrics and metadata
- Search and filter log events
- Retrieve infrastructure host and container information
- Access APM trace data, service maps, and dependencies
- List and read dashboard configurations and monitor statuses
Use Cases
- Query Datadog metrics and logs using natural language commands
- Retrieve real-time monitor statuses and active alerts
- Explore service dependencies and APM traces via AI assistants