Scout APM
Integrates with Scout APM to provide real-time application performance monitoring data including N+1 queries, memory bloat, slow queries, endpoint metrics, and detailed execution traces with line-of-code information for targeted performance debugging and automated issue detection.
About
Scout Monitoring MCP provides AI assistants with direct access to Scout APM performance monitoring data through a comprehensive set of tools for querying application metrics, traces, errors, and performance insights. Built by Scout Monitoring using Python and FastMCP, it integrates with Scout's API to surface N+1 queries, memory bloat, slow queries, endpoint performance data, and detailed execution traces with line-of-code information that AI can use to target fixes directly in code editors. The server includes 8 specialized tools covering application listing, metric retrieval, endpoint analysis, trace inspection, and error group management, with built-in validation for time ranges and metric types, making it valuable for AI-assisted performance debugging, automated issue detection, and generating targeted pull requests that fix specific performance problems in Rails, Django, FastAPI, Laravel and other monitored applications.
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