Datadog Trace Diagnostic

About

This Model Context Protocol (MCP) server integrates with Datadog to provide AI assistants with comprehensive access to APM traces, logs, and metrics. It enables intelligent querying of Datadog data, allowing AI to identify error patterns, deep-dive into specific traces for detailed diagnostics, and generate actionable debugging workflows, significantly enhancing AI-driven observability and incident response.

Key Features

• List error traces for services within specified time windows
• Search and summarize logs with various filters and pattern grouping
• Correlate logs with specific trace IDs, optionally including trace details
• Inspect detailed error traces including spans, logs, and diagnostic workflows
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Use Cases

• Debugging production incidents by identifying and analyzing recent errors
• Investigating intermittent errors through log pattern summarization and trace analysis
• Performing cross-service error analysis in distributed systems