feat: add MCP tool usage metrics system (token cost tracking)#48
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Adds infrastructure to automatically measure every MCP tool execution and
store token estimates, byte sizes, and wall-clock timings for observability
and cost-ranking dashboards.
Components added:
- ToolExecutionMetric entity + V26 Flyway migration (tool_execution_metrics table)
- TokenEstimatorService — CL100K_BASE estimation via JTokkit (cl100k_base)
- ToolMetricsCollector — generic measure(toolName, request, Supplier<T>) wrapper;
metrics failures never break business execution (logged only)
- ToolExecutionMetricRepository — JPQL + native queries for top-expensive, usage-by-day,
most-expensive-executions, and avg-execution-time-per-tool
- ToolMetricsController — GET /api/v1/internal/metrics/tools/{top-expensive,usage-by-day,
most-expensive,avg-execution-time}
- Interface projections + MostExpensiveExecutionResponse record in dto/metrics/
- McpApplicationTools fully integrated with ToolMetricsCollector on all 9 methods
Alerts: WARN log emitted when responseTokens > 5 000 (expensive threshold).
https://claude.ai/code/session_01EFuRv2jTHxB7PLXwQTAPbz
Qodana for JVM2 new problems were found
View the detailed Qodana reportTo be able to view the detailed Qodana report, you can either:
To get - name: 'Qodana Scan'
uses: JetBrains/qodana-action@v2025.3.2
with:
upload-result: trueContact Qodana teamContact us at qodana-support@jetbrains.com
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Adds infrastructure to automatically measure every MCP tool execution and
store token estimates, byte sizes, and wall-clock timings for observability
and cost-ranking dashboards.
Components added:
metrics failures never break business execution (logged only)
most-expensive-executions, and avg-execution-time-per-tool
most-expensive,avg-execution-time}
Alerts: WARN log emitted when responseTokens > 5 000 (expensive threshold).
https://claude.ai/code/session_01EFuRv2jTHxB7PLXwQTAPbz