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Query and analyze cloud and SaaS logs using natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "tailpipe-mcp" yet — see the docs or source repo.
Query error-level logs from the production environment in the last 24 hours, count exceptions by service, and summarize the top three recurring errors with likely causes.
A summary of errors by service, common error patterns, and an initial analysis of likely causes.
Find all logs related to user login failures over the last 7 days, summarize them by date and region, identify abnormal spikes, and describe the possible impact scope.
Login failure trends, abnormal time windows, regional distribution, and an impact assessment.
Analyze logs related to the payment API from the last 48 hours, identify the slowest request paths, when slow requests occurred, and summarize possible performance bottlenecks.
A ranking of slow endpoints, time-based patterns, and likely bottlenecks to guide optimization and fixes.
Tail, search, filter, and summarize logs from files and Docker containers.
Give AI read-only logs to debug Linux servers safely without shell access.
Monitor GCP Java microservice logs and investigate issues with natural-language queries.
Securely collect and analyze Linux system logs over HTTP or HTTPS.
Access supply-chain data to track AIS vessels and logistics movements.
Track AI usage, costs, logs, and debug model interactions across apps.