Add custom dashboard for server stats and tool calls #23
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Pull request overview
This PR adds a custom Azure Portal dashboard for monitoring MCP server statistics and tool calls, addressing issue #15. The dashboard provides visualizations for tool call counts, success rates, latency percentiles, and per-tool usage metrics using KQL queries against Application Insights telemetry data. Additionally, it optimizes infrastructure by conditionally creating Cosmos DB containers only when authentication is enabled.
- Adds custom Azure Portal dashboard with charts for tool metrics (counts, success/error rates, latency percentiles, and per-tool breakdowns)
- Conditionally creates auth-related Cosmos DB containers only when authentication is enabled (Keycloak or Entra OAuth Proxy)
- Updates documentation to explain how to access the dashboard via
azd monitor
Reviewed changes
Copilot reviewed 5 out of 5 changed files in this pull request and generated 1 comment.
| File | Description |
|---|---|
| infra/appinsights-dashboard.bicep | New Bicep module defining Azure Portal dashboard with 10 tiles visualizing MCP tool call metrics and server performance using KQL queries |
| infra/main.bicep | Adds authEnabled variable and conditionally creates Cosmos DB containers for user-expenses and oauth-clients only when auth is enabled; integrates dashboard module |
| servers/opentelemetry_middleware.py | Removes historical comment about PR #2083 that's no longer needed |
| README.md | Documents azd monitor command to access the dashboard and clarifies Application Insights access steps |
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madebygps
reviewed
Dec 17, 2025
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Fixes #15
After this change, you can run "azd monitor" to see this custom dashboard pop-up:
The tool call charts are based off KQL queries based off the gen_ai attribute names.