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?
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 Vertex AI models for controlling TCP devices
Why this server?
Uses Google Cloud Console for OAuth 2.0 authentication setup and credential management to enable secure access to Gmail API functionality.
Why this server?
Interfaces with Google Cloud Healthcare API to access and query FHIR healthcare resources including patient data, observations, conditions, medications, and clinical records
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?
Monitors the operational status of Google Cloud Platform services and provides real-time updates about service health and availability.
Why this server?
Provides access to Vertex AI Gemini models for AI-powered coding assistance and general query answering, with support for web search grounding and direct knowledge answering
Why this server?
Enables querying and management of GCP resources including Artifact Registry, BigQuery, Cloud Audit Logs, Cloud Build, Compute Engine, Cloud Monitoring, Cloud Run, and Cloud Storage through a standardized interface.
Why this server?
Supports Vertex AI integration for Google Cloud users as an alternative to Google AI Studio, allowing use of Google Cloud's Gemini models through Vertex AI.