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Automatically diagnose bugs through logs, call chains, and cross-platform code analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Log Diagnosis MCP Server" yet — see the docs or source repo.
Connect to Elasticsearch and Loki, analyze 500-error logs for checkout-service from the last 2 hours, trace the related call chain, identify the most likely root cause, and provide the affected code modules plus debugging suggestions.
Returns the likely root cause, supporting log evidence, call chain path, affected code locations, and debugging recommendations.
Analyze slow-request logs for payment-api from this morning, use trace data to find the highest-latency step in the call chain, determine whether the cause is a downstream service, database, or application code, and list optimization suggestions by priority.
Provides latency hotspots, categorized likely causes, supporting evidence, and an actionable optimization checklist.
Review logs and call chains for user-service after the latest release, compare error patterns before and after deployment, determine whether the fixed issue still persists, and summarize any new anomaly signals.
Returns a fix-effect assessment, before/after comparison findings, residual risks, and a summary of new anomalies.
Give AI read-only logs to debug Linux servers safely without shell access.
Tail, search, filter, and summarize logs from files and Docker containers.
Start, monitor, search, and diagnose project logs to find errors fast.
Monitor GCP Java microservice logs and investigate issues with natural-language queries.
Push error logs, inspect code, and generate diagnostic reports automatically.
Diagnose network and service issues using cURL timings and targeted recommendations.