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by asatasinon • Analytics & Monitoring
An MCP server that exposes Datadog APIs to query and analyze metrics, traces (APM), and logs, intended for integration with agents like Claude for Desktop.
Query time-series metrics (CPU, memory, custom metrics) from Datadog and return aggregated or raw timeseries data.
Search, filter, and aggregate APM spans to find recent errors, latency hotspots, or service call patterns.
Query and search logs in Datadog and present matching log entries or summaries to users.
This MCP server wraps Datadog API endpoints to provide convenient access to metrics, traces (APM/spans), and logs from an MCP-compatible interface. It supports listing and searching metrics, querying timeseries and scalar metrics, querying and aggregating spans, and querying logs. It's designed to be run locally and integrated with Claude for Desktop so agents can make natural-language requests to Datadog data using the MCP protocol.
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