Execute TypeScript code using Google Cloud Client Libraries to query and manage GCP resources like Compute Engine, Cloud Storage, and BigQuery across projects and regions.
Execute JavaScript/TypeScript code in the Google Cloud Platform environment using official Google Cloud client libraries. Automates GCP tasks, handles API errors, and optimizes resource management across projects and regions.
List all Google Kubernetes Engine (GKE) clusters within a specified GCP project, optionally filtered by region. Simplify cluster management and visibility for better resource tracking in GCP environments.
Validate required IAM permissions before deploying to GCP services like Cloud Run, GKE, Compute Engine, and Cloud Functions to prevent deployment failures.
Enables AI assistants to interact with Google Cloud Platform services for log analysis and root cause investigation. Provides tools to query Cloud Logging, detect error patterns, and perform real-time log streaming across multiple GCP projects.
Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.
Enables AI assistants to automatically inspect and analyze application runtime log files for debugging and troubleshooting. Supports monitoring multiple log directories simultaneously with tools for listing, reading, searching, and paginating through log files.