$ loading_
Query Azure Log Analytics workspaces with KQL to inspect logs and operational data.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Log Analytics MCP Server" yet — see the docs or source repo.
Use Log Analytics to query application error logs from the last 24 hours, count exceptions by hour, and identify the top 5 exception types. Return the KQL, a summary of findings, and troubleshooting suggestions.
Provides executable KQL, an hourly error trend, top exception types, and recommended next troubleshooting steps.
Query Azure VM performance logs for the past 7 days and find hosts where CPU usage stayed above 80% for more than 30 minutes. Sort the results by impact duration.
Returns KQL for high-CPU filtering, a list of affected hosts, duration-ranked results, and a brief conclusion.
In Log Analytics, query failed sign-in events from the last 3 days, summarize them by user, source IP, and failure reason, and flag unusually frequent sources.
Outputs security-audit KQL, a failed sign-in summary table, suspicious source flags, and follow-up investigation recommendations.
Query and analyze Azure logs, telemetry, and security data with KQL.
Track AI usage, costs, logs, and debug model interactions across apps.
Give AI read-only logs to debug Linux servers safely without shell access.
Tail, search, filter, and summarize logs from files and Docker containers.
Monitor GCP Java microservice logs and investigate issues with natural-language queries.
Securely query and manage Azure PostgreSQL databases with AI.