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Query Scouter APM performance data in natural language for monitoring and troubleshooting.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Scouter MCP Server" yet — see the docs or source repo.
Analyze response time changes for the order API over the past 2 hours. Identify the highest-latency time windows, affected instances, and any related slow SQL queries or abnormal calls.
Returns latency trends, anomaly windows, affected instances, and likely performance bottleneck clues.
Check error rate changes for the payment service today. Explain when the increase began, which transactions or endpoints were most affected, and summarize possible causes.
Provides an error-rate timeline, ranking of impacted endpoints, and an initial cause analysis based on APM data.
Using monitoring data from the past 24 hours, generate an application performance health summary covering throughput, response time, error rate, resource hotspots, and priority issues to review.
Produces a concise performance overview so the team can quickly understand system health and pending risks.
Scan MCP tool descriptions for prompt injection and privilege escalation risks.
Access Codescan projects, metrics, and filtered issue data through AI.
Give coding agents live web search, scraping, extraction, crawling, and screenshots.
Search, inspect, trace, and read business data assets across internal platforms.
Query and analyze Prometheus metrics through AI-friendly standardized interfaces.
Scan configured MCP servers locally and generate inventory with risk scores.