Monitoring Claude Code Usage with OpenObserve and Querying via MCP

Monitoring Claude Code usage involves setting the telemetry flag to collect data such as token counts, costs, and user interactions, which are then exported as OpenTelemetry signals to OpenObserve. The process is twofold: first, instrument Claude Code to emit specific metrics and events, and second, connect it to OpenObserve's MCP server to enable natural language queries on the telemetry data. This setup allows teams to create productivity dashboards and answer complex questions about usage patterns and costs without writing queries. The guide details the configuration of OpenTelemetry exporters, the use of an OpenTelemetry Collector for team deployments, and the creation of a managed settings file for organization-wide rollout. Additionally, it explains how to attribute data by developer, repository, and feature, and the integration of cost metrics using enrichment tables for precise financial tracking. The guide concludes with instructions on how to safely use MCP for production data, emphasizing least-privilege access and auditing to maintain security and data integrity.

No tracked trend matches for this post yet.