Google Cloud is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products. It offers a range of services including computing, data storage, data analytics, and machine learning capabilities.
Why this server?
Integrates with Google Cloud Console for YouTube Data API v3 key management and quota monitoring.
Why this server?
Provides tools for deploying applications to Google Cloud Run, listing services, getting service details, creating projects, and managing cloud resources. Supports both direct file content deployment and local file/folder deployment.
Why this server?
Integrates with Google Cloud for authentication and access control through service accounts and OAuth, enabling secure access to Google Calendar API resources.
Why this server?
Provides tools for querying and managing GCP resources including Artifact Registry, BigQuery, Cloud Audit Logs, Cloud Build, Compute Engine, Cloud Monitoring, Cloud Run, and Cloud Storage, enabling operations like container management, data warehousing, logging analysis, CI/CD pipeline management, VM provisioning, metrics monitoring, and serverless deployments.
Why this server?
Provides tools for managing Google Cloud Dataproc clusters and jobs, including cluster creation/deletion, job submission (Spark, PySpark, Hive, Hadoop), and serverless batch operations.
Why this server?
Enables querying and management of Google Cloud Platform resources including Compute Engine, Cloud Storage, Cloud Functions, Cloud Run, BigQuery, Cloud SQL, GKE, Cloud Logging, Cloud Billing and Resource Manager using natural language.
Why this server?
Integrates with Google Cloud for authentication and project configuration, allowing access to Google Cloud resources using service account credentials.
Why this server?
Enables querying of large-scale clinical datasets hosted on Google Cloud BigQuery, supporting full MIMIC-IV and eICU datasets for cloud-based analysis of electronic health records.
Why this server?
Enables management of GCP resources including compute instances, storage buckets, and cloud functions, with support for cost analysis, monitoring metrics, and security compliance checks.