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Start, monitor, search, and diagnose project logs to find errors fast.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "log-reader-mcp" yet — see the docs or source repo.
Start log monitoring for this project, watch the last 10 minutes of output, and identify errors, stack traces, and likely causes of the service startup failure, sorted by severity.
A summary of key startup errors, exception context, likely root causes, and prioritized troubleshooting suggestions.
Search all accessible logs in the current project for "connection timeout" and "ECONNREFUSED", then summarize occurrence counts, time ranges, related services, and representative error snippets.
Counts of keyword matches, relevant log excerpts, and a summary list of affected modules or services.
Analyze the last hour of logs for this project, automatically detect anomaly patterns, repeated errors, signs of performance degradation, and potential failure points, then explain them briefly.
Detected anomalies, suspicious patterns, repeated issues, risk notes, and recommended areas to investigate.
Give AI read-only logs to debug Linux servers safely without shell access.
Tail, search, filter, and summarize logs from files and Docker containers.
Collect and analyze CLI and web server error logs using natural language.
Fetch remote logs by IP, port, and path for faster troubleshooting.
Interact with Linux systems via MCP for monitoring, diagnostics, and operations.
Inspect PX4 flight logs to debug and reason about drone systems.