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.
Enables AI assistants to interact with and manage Google Cloud Platform resources including Compute Engine, Cloud Run, Storage, BigQuery, and other GCP services through a standardized MCP interface.
A Model Context Protocol server that enables AI assistants like Claude to interact with Google Cloud Platform environments through natural language, allowing users to query and manage GCP resources during conversations.
Enables AI assistants to interact with Google Cloud Platform resources through natural language queries. Supports querying and managing GCP services like Compute Engine, Cloud Storage, BigQuery, and more across multiple projects and regions.