AlloyDB Postgres Observability

Mon, 01 Jan 0001 00:00:00 +0000

AlloyDB Postgres Observability

--prebuilt value: alloydb-postgres-observability
Permissions:
- Monitoring Viewer (roles/monitoring.viewer) is required on the project to view system and query time-series metrics.
- Database Insights Viewer (roles/databaseinsights.viewer) is required to retrieve aggregated query statistics, wait events, historical trends, and index advisor recommendations.
Tools:
- get_system_metrics: Fetches system level cloud monitoring data (timeseries metrics) for an AlloyDB instance using a PromQL query.
- get_query_metrics: Fetches query level cloud monitoring data (timeseries metrics) for queries running in an AlloyDB instance using a PromQL query.
- get_advanced_aggregated_query_stats: Fetches aggregated query execution statistics for a requested AlloyDB instance within a specified time period. Supports filtering by database name, database user, and a specific query ID, as well as pagination. Returns statistics including query ID, database name, total execution time (sum(execution_time)), average execution time (avg(execution_time)), total execution count (sum(count)), total wait time (sum(wait_time)), and normalized query text. Requires Advanced Query Insights to be enabled.
- get_advanced_aggregated_wait_event_stats: Fetches aggregated wait event statistics to identify performance bottlenecks for a requested AlloyDB instance within a specified time period. Supports filtering by database name, database user, and a specific query ID, selecting the aggregation level (by wait class or granular wait event), as well as pagination. Returns statistics including wait class or event name, total time spent (sum(time_spent)), average time spent (avg(time_spent)), and total wait count (sum(count)). Requires Advanced Query Insights to be enabled.
- get_advanced_time_series_query_stats: Fetches time-series history of query execution statistics to analyze trends and spikes for a requested AlloyDB instance within a specified time period. Supports filtering by database name, database user, and a specific query ID. Returns time-series data including rates of execution time (rate(execution_time)) and wait time (rate(wait_time)). Requires Advanced Query Insights to be enabled.
- get_advanced_time_series_wait_event_stats: Fetches time-series history of wait event statistics to analyze contention trends for a requested AlloyDB instance within a specified time period. Supports filtering by database name, database user, and a specific query ID, as well as selecting the aggregation level (by wait class or granular wait event). Returns time-series data including rate of time spent (rate(time_spent)) grouped by wait class or event. Requires Advanced Query Insights to be enabled.
- get_index_recommendations: Fetches index advisor suggestions to optimize performance for a requested AlloyDB instance. Supports requesting recommendations for specific databases and a list of query IDs. Returns index recommendations including SQL commands (CREATE INDEX), target schema, relation, and columns, estimated storage size, and predicted query performance improvements (current vs estimated execution duration).
Available Toolsets (Filtered Groups):
- alloydb_postgres_cloud_monitoring_tools: Exposes only the 2 Cloud Monitoring metrics tools (get_system_metrics, get_query_metrics).
- alloydb_postgres_database_insights_tools: Exposes only the 5 Database Insights diagnostic tools (get_advanced_... and get_index_recommendations).
- alloydb_postgres_observability_tools: Exposes all 7 observability tools.

Additional Resources

These tools are also available via the remote Google Cloud OneMCP server for AlloyDB. For detailed reference documentation on remote OneMCP integration and index advisor capabilities, see:

Cloud SQL for MySQL Observability

Mon, 01 Jan 0001 00:00:00 +0000

Cloud SQL for MySQL Observability

--prebuilt value: cloud-sql-mysql-observability
Permissions:
- Monitoring Viewer (roles/monitoring.viewer) is required on the project to view monitoring data.
Tools:
- get_system_metrics: Fetches system level cloud monitoring data (timeseries metrics) for a MySQL instance using a PromQL query.
- get_query_metrics: Fetches query level cloud monitoring data (timeseries metrics) for queries running in a MySQL instance using a PromQL query.

Cloud SQL for PostgreSQL Observability

Mon, 01 Jan 0001 00:00:00 +0000

Cloud SQL for PostgreSQL Observability

--prebuilt value: cloud-sql-postgres-observability
Permissions:
- Monitoring Viewer (roles/monitoring.viewer) is required on the project to view monitoring data.
Tools:
- get_system_metrics: Fetches system level cloud monitoring data (timeseries metrics) for a Postgres instance using a PromQL query.
- get_query_metrics: Fetches query level cloud monitoring data (timeseries metrics) for queries running in Postgres instance using a PromQL query.

Cloud SQL for SQL Server Observability

Mon, 01 Jan 0001 00:00:00 +0000

Cloud SQL for SQL Server Observability

--prebuilt value: cloud-sql-mssql-observability
Permissions:
- Monitoring Viewer (roles/monitoring.viewer) is required on the project to view monitoring data.
Tools:
- get_system_metrics: Fetches system level cloud monitoring data (timeseries metrics) for a SQL Server instance using a PromQL query.

Prebuilt Configs on MCP Toolbox for Databases

AlloyDB Postgres Observability

AlloyDB Postgres Observability

Additional Resources

Cloud SQL for MySQL Observability

Cloud SQL for MySQL Observability

Cloud SQL for PostgreSQL Observability

Cloud SQL for PostgreSQL Observability

Cloud SQL for SQL Server Observability

Cloud SQL for SQL Server Observability