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Query logs, metrics, and traces from LGTM tools using natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "LGTM MCP Server" yet — see the docs or source repo.
Query error logs for payment-service in the last hour, summarize the main error types, and list the top 5 most frequent log lines.
Returns matching logs with a brief summary of error categories and frequent samples.
Query request volume, error rate, and latency metrics for the checkout service over the last 24 hours, and identify any obvious abnormal periods.
Returns relevant metric results and highlights possible periods of abnormal fluctuation.
Find the slowest traces in today's order placement flow and explain which service or step may be causing the delay.
Returns slow trace results and summarizes likely bottleneck services or spans.
Ops or SRE teams can use natural language to query logs, metrics, and traces during incidents to narrow down the issue faster. It is useful for quickly understanding the overall situation before deeper analysis.
Developers can read data from Loki, Prometheus, and Tempo after releases or fixes to confirm whether error rates, latency, or trace flows look abnormal. This helps them get results quickly without manually writing every query.
When teams maintain multiple monitoring instances, this tool provides a single read-only way to query them. It fits scenarios where logs, metrics, and traces must be checked across different instances.
It provides read-only access to Loki, Prometheus, and Tempo APIs for querying logs, metrics, and traces.
Yes. It supports multiple instances and authentication via bearer tokens. For exact configuration details, see the source repository.
Based on the description, it is read-only and intended for querying observability data rather than modifying anything in Loki, Prometheus, or Tempo.
Query and analyze Grafana Loki logs with LogQL to find issues faster.
Securely manage LogicMonitor monitoring infrastructure and alerts with natural language.
Investigate Datadog logs, metrics, traces, and incidents using natural language.
Query Grafana Loki logs read-only with label discovery, LogQL, and recent logs.
Query Prometheus metrics with PromQL and analyze monitoring trends and anomalies.
Tail, search, filter, and summarize logs from files and Docker containers.